As an Audit practice, we invested significantly in innovative technology to understand how our client's processes, technologies and systems operate to provide a fair view on how they address their risks. As part of PwC's global strategy, The New Equation, we're investing significantly in skills, capabilities and technologies to address the breadth and complexity of the challenges that our clients face with their businesses and in society. One of our responses to this was establishing Tech Central, a technology focused function working alongside other PwC teams. Technology is now at the heart of how our clients deliver their services. The complexity of systems, increasing use of data and the continuous investment in technologies by our clients, creates new challenges, but equally, opportunities, as to how we assess our client risks and build trust in society. Embark on an exciting journey with PwC's Digital Audit Business Unit as we launch the Generative AI Pod, a dynamic and innovative space dedicated to reshaping the future of audits through ground-breaking AI and Machine Learning technologies. Our startup-minded team aims to revolutionise auditing, collaborating closely with Audit Subject Matter Experts (SMEs) to drive innovation and advancements in how responsible AI can shape the future of Audit. You will work alongside Tech Central, where building technology assets is one of their top priorities. You will build technology solutions in collaboration with other technical specialists including Agile Delivery Managers, Product Managers, Developer/s, Tester/s, Technical Architects as well as subject matter experts from wider Tech Central teams. At the GenAI Pod, we're pushing the boundaries of what's possible. As a Senior manager you will: Lead the Generative AI Pod team and define the portfolio of projects Lead as a technical SME the design and the implementation of various projects Lead in developing strategic data science engagements with key clients in audit to form and execute the next development of pipeline opportunities Lead and be accountable for the delivery of the GenAI Pod objectives working alongside our external and internal partners Engineer scalable natural language models empowering auditors to efficiently analyse extensive document sets Develop a vision for scalable solution from PoCs and MVPs Automate audit processes through the application of AI, enhancing the identification of key risk indicators, patterns, and anomalies, ultimately elevating the precision and effectiveness of audit assessments Be a role model while managing a team of data scientists and engineers on project and product teams Support PwC's growth opportunities Preferred qualifications: Masters or PhD in a data science-related discipline Skills and Experience A passionate and experienced data scientist, with a good technical understanding of Generative AI and LLMs Understanding of requirements for software engineering and data governance in data science Extensive experience with modern data platform architecture, experience in Deep Learning (PyTorch/TensorFlow) Practical experience from industry and professional services in delivering large scale data platforms and valuable advanced analytics, blending large scale analytics and leveraging AI models Ability to manage and coach a team of data scientists Engagement with and management of technical and senior stakeholders Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory Strong knowledge of Python & SQL Azure / GCP for cloud backend Skills that will be beneficial but is not a prerequisite: Experience working with large data pipelines (using technologies such as Beam or Kafka) Experience in LLMs using OpenAI, Gemini or open source models Exposure to other programming languages (such as Java) Experience of working on a project using agile concepts (such as working in sprints) Familiarity with working in an MLOps environment. Experience working with search engines (such as Elasticsearch)
Apr 30, 2024
Full time
As an Audit practice, we invested significantly in innovative technology to understand how our client's processes, technologies and systems operate to provide a fair view on how they address their risks. As part of PwC's global strategy, The New Equation, we're investing significantly in skills, capabilities and technologies to address the breadth and complexity of the challenges that our clients face with their businesses and in society. One of our responses to this was establishing Tech Central, a technology focused function working alongside other PwC teams. Technology is now at the heart of how our clients deliver their services. The complexity of systems, increasing use of data and the continuous investment in technologies by our clients, creates new challenges, but equally, opportunities, as to how we assess our client risks and build trust in society. Embark on an exciting journey with PwC's Digital Audit Business Unit as we launch the Generative AI Pod, a dynamic and innovative space dedicated to reshaping the future of audits through ground-breaking AI and Machine Learning technologies. Our startup-minded team aims to revolutionise auditing, collaborating closely with Audit Subject Matter Experts (SMEs) to drive innovation and advancements in how responsible AI can shape the future of Audit. You will work alongside Tech Central, where building technology assets is one of their top priorities. You will build technology solutions in collaboration with other technical specialists including Agile Delivery Managers, Product Managers, Developer/s, Tester/s, Technical Architects as well as subject matter experts from wider Tech Central teams. At the GenAI Pod, we're pushing the boundaries of what's possible. As a Senior manager you will: Lead the Generative AI Pod team and define the portfolio of projects Lead as a technical SME the design and the implementation of various projects Lead in developing strategic data science engagements with key clients in audit to form and execute the next development of pipeline opportunities Lead and be accountable for the delivery of the GenAI Pod objectives working alongside our external and internal partners Engineer scalable natural language models empowering auditors to efficiently analyse extensive document sets Develop a vision for scalable solution from PoCs and MVPs Automate audit processes through the application of AI, enhancing the identification of key risk indicators, patterns, and anomalies, ultimately elevating the precision and effectiveness of audit assessments Be a role model while managing a team of data scientists and engineers on project and product teams Support PwC's growth opportunities Preferred qualifications: Masters or PhD in a data science-related discipline Skills and Experience A passionate and experienced data scientist, with a good technical understanding of Generative AI and LLMs Understanding of requirements for software engineering and data governance in data science Extensive experience with modern data platform architecture, experience in Deep Learning (PyTorch/TensorFlow) Practical experience from industry and professional services in delivering large scale data platforms and valuable advanced analytics, blending large scale analytics and leveraging AI models Ability to manage and coach a team of data scientists Engagement with and management of technical and senior stakeholders Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory Strong knowledge of Python & SQL Azure / GCP for cloud backend Skills that will be beneficial but is not a prerequisite: Experience working with large data pipelines (using technologies such as Beam or Kafka) Experience in LLMs using OpenAI, Gemini or open source models Exposure to other programming languages (such as Java) Experience of working on a project using agile concepts (such as working in sprints) Familiarity with working in an MLOps environment. Experience working with search engines (such as Elasticsearch)
As an Audit practice, we invested significantly in innovative technology to understand how our client's processes, technologies and systems operate to provide a fair view on how they address their risks. You can embark on an exciting journey with PwC's Digital Audit Business Unit as we launch the Generative AI Pod, a dynamic and innovative space dedicated to reshaping the future of audits through ground-breaking AI and Machine Learning technologies. Our startup-minded team aims to revolutionise auditing, collaborating closely with Audit Subject Matter Experts (SMEs) to drive innovation and advancements in how responsible AI can shape the future of Audit. Working alongside Tech Central, where building technology assets is one of their top priorities, you will build technology solutions in collaboration with other technical specialists including Agile Delivery Managers, Product Managers, Developer/s, Tester/s, Technical Architects as well as subject matter experts from wider teams. Combining a passion for developing large scale platforms with a keen interest in data science, you will work alongside data scientists to develop scalable solutions, moving products from Proof of concepts to Minimal Viable products. At the GenAI Pod, we're pushing the boundaries of what's possible. As a Manager you will: Lead in developing strategic data science engagements with key clients in audit to form & execute the next development of pipeline opportunities Lead and be accountable for the delivery of core data science assets (such as SaaS platforms) in client facing settings Engineer scalable natural language models empowering Auditors to efficiently analyse extensive document sets. Automate audit processes through the application of AI, enhancing the identification of key risk indicators, patterns, and anomalies, ultimately elevating the precision and effectiveness of audit assessments. Scale out natural language processing models to identify and make predictions over vast datasets. Be a role model while managing a team of data scientist and engineers on project and product teams Support PwC's growth opportunities Skills and Experience We want people who are passionate about data science Engineering and who have invested time in understanding Generative AI and experienced the power of LLM Practical experience from industry and professional services in delivering large scale data platforms and valuable advanced analytics blending large scale analytics and leveraging AI models Engagement of technical and senior stakeholders Ability to manage and coach a team of data scientists Understanding of requirements for software engineering and data governance in data science Experience in Data engineering role with a level of experience on deploying ML solutions and leading Data science/Engineering teams. Extensive experience with modern Data platform architecture, experience in Deep Learning (PyTorch/TensorFlow) Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory Strong knowledge of Python & SQL Strong debugging skills Git for version control Azure / GCP for our cloud backend Skills that will be beneficial but not a prerequisite: Experience working with large data pipelines (using technologies such as Beam or Kafka) Experience in LLMs using OpenAI, Gemini or open source models Exposure to other programming languages (such as Java) Experience of working on a project using agile concepts (such as working in sprints) Familiarity with working in an MLOps environment. Experience working with search engines (such as Elasticsearch) Bachelor's degree (or more) in computer science / Data Science or a related technical discipline
Apr 30, 2024
Full time
As an Audit practice, we invested significantly in innovative technology to understand how our client's processes, technologies and systems operate to provide a fair view on how they address their risks. You can embark on an exciting journey with PwC's Digital Audit Business Unit as we launch the Generative AI Pod, a dynamic and innovative space dedicated to reshaping the future of audits through ground-breaking AI and Machine Learning technologies. Our startup-minded team aims to revolutionise auditing, collaborating closely with Audit Subject Matter Experts (SMEs) to drive innovation and advancements in how responsible AI can shape the future of Audit. Working alongside Tech Central, where building technology assets is one of their top priorities, you will build technology solutions in collaboration with other technical specialists including Agile Delivery Managers, Product Managers, Developer/s, Tester/s, Technical Architects as well as subject matter experts from wider teams. Combining a passion for developing large scale platforms with a keen interest in data science, you will work alongside data scientists to develop scalable solutions, moving products from Proof of concepts to Minimal Viable products. At the GenAI Pod, we're pushing the boundaries of what's possible. As a Manager you will: Lead in developing strategic data science engagements with key clients in audit to form & execute the next development of pipeline opportunities Lead and be accountable for the delivery of core data science assets (such as SaaS platforms) in client facing settings Engineer scalable natural language models empowering Auditors to efficiently analyse extensive document sets. Automate audit processes through the application of AI, enhancing the identification of key risk indicators, patterns, and anomalies, ultimately elevating the precision and effectiveness of audit assessments. Scale out natural language processing models to identify and make predictions over vast datasets. Be a role model while managing a team of data scientist and engineers on project and product teams Support PwC's growth opportunities Skills and Experience We want people who are passionate about data science Engineering and who have invested time in understanding Generative AI and experienced the power of LLM Practical experience from industry and professional services in delivering large scale data platforms and valuable advanced analytics blending large scale analytics and leveraging AI models Engagement of technical and senior stakeholders Ability to manage and coach a team of data scientists Understanding of requirements for software engineering and data governance in data science Experience in Data engineering role with a level of experience on deploying ML solutions and leading Data science/Engineering teams. Extensive experience with modern Data platform architecture, experience in Deep Learning (PyTorch/TensorFlow) Strong knowledge of Mathematical Statistics, Algorithms & Data Structures, ML Theory Strong knowledge of Python & SQL Strong debugging skills Git for version control Azure / GCP for our cloud backend Skills that will be beneficial but not a prerequisite: Experience working with large data pipelines (using technologies such as Beam or Kafka) Experience in LLMs using OpenAI, Gemini or open source models Exposure to other programming languages (such as Java) Experience of working on a project using agile concepts (such as working in sprints) Familiarity with working in an MLOps environment. Experience working with search engines (such as Elasticsearch) Bachelor's degree (or more) in computer science / Data Science or a related technical discipline
Company Description Hyperscience is transforming the future of work to elevate human potential. Our human-centered approach to automation enables a new era of human and machine collaboration that delivers dramatically improved organizational agility, without the legacy cost and burden of change management. By combining data, people, and processes into digital assembly lines, the Hyperscience Platform turns complex processes into simple, configurable workflows. Our industry-leading machine learning technology continuously learns and evolves, to involve humans only when needed. For more information, please visit . We are looking for a technical manager with a passion for working on business-facing automation products to lead our Application Machine Learning team. The ideal candidate will be able to leverage a strong ML background to bridge the gap between the latest ML technologies and customer needs. This is a crucial role in the engineering department, with a significant contribution to the company's future. You will have a chance to work across the complete machine learning lifecycle, including data collection/generation, annotation, model building, training, testing, and releasing. While partnering with multiple product engineering teams, you will deliver a combination of end-to-end automation solutions and simple, reusable abstractions for complex machine learning tasks to back offices worldwide. We are looking for an engineering leader with a blend of technical and people skills. You will be expected to get into the technical details of projects within your team while also understanding how to work cross-functionally to deliver the maximum value to our end users. Responsibilities Manage and guide a large team of Machine Learning engineers helping to set priorities and tasks Plan and manage multiple projects to ensure successful delivery Wrapping ML modules in reusable application components, which can be integrated into different configurations depending on the specific customer's needs Leveraging your systems knowledge to deliver fast and scalable software, starting from the design of the system through development and extension Creatively solving problems even when the initial answer is unclear Actively participate in discussions and give ideas/guidance Assessing where the optimization efforts should go in order to utilize better the ML components and know-how of the company Qualifications 3+ years of industry experience using data-driven approaches to solve real-world problems through building an ML-related product from end-to-end, including data collection, modeling training, experiment, and release. 1+ year(s) leadership experience as an engineering manager or technical lead for a group of engineers or data scientists - coaching, road mapping, and project management. Expertise in machine learning for deep learning, and content understanding technologies, especially in NLP or CV-related areas. Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams. Well-developed software engineering fundamentals and the ability to write production code when needed. Good communication skills and the ability to understand and synthesize requirements across multiple project domains. Works effectively with cross-functional teams to build a trusted partnership. Able to perform applied research projects and bring them to production. Strong experience with one or more general-purpose languages (Java, C/C++, Python, etc). Benefits & Perks: - Top-notch healthcare for you and your family - A pension match for up to 6% of your annual salary - Flexible PTO with the approval of your manager - 12 weeks of parental leave and an additional 4 weeks for birthing parents - Stock options We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. PLEASE BE AWARE of, and cautious about, potential recruitment fraud. All of our open jobs can be found directly on our careers page at: We will never communicate with candidates except via email domain. Any communication you receive outside of these parameters is potentially fraudulent. Additionally, we never conduct interviews solely via online tests, nor do we make job offers without multiple cross functional live interviews via Zoom, phone or onsite. We only ask for personal information via our application process on our careers page or through a verifiable background check company during onboarding.
Apr 30, 2024
Full time
Company Description Hyperscience is transforming the future of work to elevate human potential. Our human-centered approach to automation enables a new era of human and machine collaboration that delivers dramatically improved organizational agility, without the legacy cost and burden of change management. By combining data, people, and processes into digital assembly lines, the Hyperscience Platform turns complex processes into simple, configurable workflows. Our industry-leading machine learning technology continuously learns and evolves, to involve humans only when needed. For more information, please visit . We are looking for a technical manager with a passion for working on business-facing automation products to lead our Application Machine Learning team. The ideal candidate will be able to leverage a strong ML background to bridge the gap between the latest ML technologies and customer needs. This is a crucial role in the engineering department, with a significant contribution to the company's future. You will have a chance to work across the complete machine learning lifecycle, including data collection/generation, annotation, model building, training, testing, and releasing. While partnering with multiple product engineering teams, you will deliver a combination of end-to-end automation solutions and simple, reusable abstractions for complex machine learning tasks to back offices worldwide. We are looking for an engineering leader with a blend of technical and people skills. You will be expected to get into the technical details of projects within your team while also understanding how to work cross-functionally to deliver the maximum value to our end users. Responsibilities Manage and guide a large team of Machine Learning engineers helping to set priorities and tasks Plan and manage multiple projects to ensure successful delivery Wrapping ML modules in reusable application components, which can be integrated into different configurations depending on the specific customer's needs Leveraging your systems knowledge to deliver fast and scalable software, starting from the design of the system through development and extension Creatively solving problems even when the initial answer is unclear Actively participate in discussions and give ideas/guidance Assessing where the optimization efforts should go in order to utilize better the ML components and know-how of the company Qualifications 3+ years of industry experience using data-driven approaches to solve real-world problems through building an ML-related product from end-to-end, including data collection, modeling training, experiment, and release. 1+ year(s) leadership experience as an engineering manager or technical lead for a group of engineers or data scientists - coaching, road mapping, and project management. Expertise in machine learning for deep learning, and content understanding technologies, especially in NLP or CV-related areas. Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams. Well-developed software engineering fundamentals and the ability to write production code when needed. Good communication skills and the ability to understand and synthesize requirements across multiple project domains. Works effectively with cross-functional teams to build a trusted partnership. Able to perform applied research projects and bring them to production. Strong experience with one or more general-purpose languages (Java, C/C++, Python, etc). Benefits & Perks: - Top-notch healthcare for you and your family - A pension match for up to 6% of your annual salary - Flexible PTO with the approval of your manager - 12 weeks of parental leave and an additional 4 weeks for birthing parents - Stock options We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. PLEASE BE AWARE of, and cautious about, potential recruitment fraud. All of our open jobs can be found directly on our careers page at: We will never communicate with candidates except via email domain. Any communication you receive outside of these parameters is potentially fraudulent. Additionally, we never conduct interviews solely via online tests, nor do we make job offers without multiple cross functional live interviews via Zoom, phone or onsite. We only ask for personal information via our application process on our careers page or through a verifiable background check company during onboarding.
WHAT WE DO At Goldman Sachs, our Engineers don't just make things - we make things possible. We change the world by connecting people and capital with ideas and solve the most challenging and pressing engineering problems for our clients. Our engineering teams build scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business. Our dynamic environment requires innovative strategic thinking. Want to push the limit of digital possibilities? Start here. Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. The Role Transaction Banking: Transaction Banking, a business unit within Platform Solutions, aims to provide comprehensive cash management solutions for corporations. Transaction Banking combines the strength and heritage of a 150-year-old financial institution with the agility and entrepreneurial spirit of a tech start-up. Our goal is to provide the best client experience. Through the use of modern technologies centered on data and analytics, we provide customers with powerful tools that are grounded in value, transparency and simplicity to improve cash flow management efficiency. The Team: Financial Risk Engineering is a global team with presence in New York, London, Bengaluru and Dallas. We are responsible for the technical design and development of systems that protect the firm and our clients from Financial Crime including real time Fraud prevention and compliance with global Sanctions and regulatory requirements, using existing and emerging technologies. The Role: In this role you will be responsible for leading the team in London. As a Senior Developer / Architect you will be expected to drive the design of critical components and shape our strategic vision for a variety of next-gen platforms that will protect the firm and our clients from Financial Crime, focusing on code quality, automation and testability. You will have the opportunity to understand our product roadmap and contribute to building an engineering culture within our global team. You will be responsible for mentoring and developing junior talent. Our flat structure requires and enables team members to evolve through the entire spectrum of the software life-cycle and closely collaborate with product owners, business and operations users. You must have a proficient understanding of software development concepts. A good understanding of the Cloud and Container concepts is a plus. You will also be responsible to develop easy to support software and liaise with our SRE team to factor in their requirements. We are looking for someone with lots of energy that enjoys engineering challenges and has a passion to deliver high quality technology solutions and is able to operate in a highly fluid, rapidly changing environment. RESPONSIBILITIES AND QUALIFICATIONS HOW YOU WILL FULFILL YOUR POTENTIAL Develop full stack applications with due consideration to security, design, validation and SDLC framework Contribute to shaping the strategic vision of our Fraud screening platform involving data streaming and machine learning technologies Collaborate with product managers, business operations, engineers to define product requirements and objectives Participate in system design consulting, platform management Develop resilient, scalable and secure modules using cloud native services Manage multiple tasks and use sound judgment when prioritizing Update and maintain documentation for team processes, best practices and software runbooks Must be passionate about technology and engineering Exceptional analytical skills and ability to apply knowledge and experience in decision-making to arrive at creative and commercial solutions BASIC QUALIFICATIONS Minimum 7 years of relevant professional experience using a modern programming language (preferably Java) Proven ability to lead engineering teams and deliver complex products with multiple stakeholders Prior experience with working on high availability, mission critical systems BS degree in Computer Science or related technical field involving programming or systems engineering. Proficiency in development with Java, springboot, REST APIs Experience with microservice architectures (SOA) Experience engineering solutions with distributed tracing, Performance testing, Authentication, Authorization Proficiency with algorithms, data structures and software design Experience with UNIX operating systems internals, infrastructure as code-Terraform and networking Proven to work independently in a fast paced and often multi-direction work environment Team oriented, strong interpersonal and communication skills PREFERRED QUALIFICATIONS Experience with development and design of distributed systems Experience in financial services specifically corporate cash management desirable Experience with AWS services - Amazon MSK/Apache kafka, ECS, S3, IAM, AWS XRay Basic knowledge of data science and machine learning is preferable but not essential ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Apr 29, 2024
Full time
WHAT WE DO At Goldman Sachs, our Engineers don't just make things - we make things possible. We change the world by connecting people and capital with ideas and solve the most challenging and pressing engineering problems for our clients. Our engineering teams build scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business. Our dynamic environment requires innovative strategic thinking. Want to push the limit of digital possibilities? Start here. Who We Look For Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. The Role Transaction Banking: Transaction Banking, a business unit within Platform Solutions, aims to provide comprehensive cash management solutions for corporations. Transaction Banking combines the strength and heritage of a 150-year-old financial institution with the agility and entrepreneurial spirit of a tech start-up. Our goal is to provide the best client experience. Through the use of modern technologies centered on data and analytics, we provide customers with powerful tools that are grounded in value, transparency and simplicity to improve cash flow management efficiency. The Team: Financial Risk Engineering is a global team with presence in New York, London, Bengaluru and Dallas. We are responsible for the technical design and development of systems that protect the firm and our clients from Financial Crime including real time Fraud prevention and compliance with global Sanctions and regulatory requirements, using existing and emerging technologies. The Role: In this role you will be responsible for leading the team in London. As a Senior Developer / Architect you will be expected to drive the design of critical components and shape our strategic vision for a variety of next-gen platforms that will protect the firm and our clients from Financial Crime, focusing on code quality, automation and testability. You will have the opportunity to understand our product roadmap and contribute to building an engineering culture within our global team. You will be responsible for mentoring and developing junior talent. Our flat structure requires and enables team members to evolve through the entire spectrum of the software life-cycle and closely collaborate with product owners, business and operations users. You must have a proficient understanding of software development concepts. A good understanding of the Cloud and Container concepts is a plus. You will also be responsible to develop easy to support software and liaise with our SRE team to factor in their requirements. We are looking for someone with lots of energy that enjoys engineering challenges and has a passion to deliver high quality technology solutions and is able to operate in a highly fluid, rapidly changing environment. RESPONSIBILITIES AND QUALIFICATIONS HOW YOU WILL FULFILL YOUR POTENTIAL Develop full stack applications with due consideration to security, design, validation and SDLC framework Contribute to shaping the strategic vision of our Fraud screening platform involving data streaming and machine learning technologies Collaborate with product managers, business operations, engineers to define product requirements and objectives Participate in system design consulting, platform management Develop resilient, scalable and secure modules using cloud native services Manage multiple tasks and use sound judgment when prioritizing Update and maintain documentation for team processes, best practices and software runbooks Must be passionate about technology and engineering Exceptional analytical skills and ability to apply knowledge and experience in decision-making to arrive at creative and commercial solutions BASIC QUALIFICATIONS Minimum 7 years of relevant professional experience using a modern programming language (preferably Java) Proven ability to lead engineering teams and deliver complex products with multiple stakeholders Prior experience with working on high availability, mission critical systems BS degree in Computer Science or related technical field involving programming or systems engineering. Proficiency in development with Java, springboot, REST APIs Experience with microservice architectures (SOA) Experience engineering solutions with distributed tracing, Performance testing, Authentication, Authorization Proficiency with algorithms, data structures and software design Experience with UNIX operating systems internals, infrastructure as code-Terraform and networking Proven to work independently in a fast paced and often multi-direction work environment Team oriented, strong interpersonal and communication skills PREFERRED QUALIFICATIONS Experience with development and design of distributed systems Experience in financial services specifically corporate cash management desirable Experience with AWS services - Amazon MSK/Apache kafka, ECS, S3, IAM, AWS XRay Basic knowledge of data science and machine learning is preferable but not essential ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
About Faculty Faculty transforms organisational performance through safe, impactful and human-led AI. We are Europe's leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely. What You'll Be Doing You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Retail and Consumer space - examples of which can be found here . You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. We're a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution Knowledge of (or interest in) retail-focused solutions around understanding consumer behaviours
Apr 29, 2024
Full time
About Faculty Faculty transforms organisational performance through safe, impactful and human-led AI. We are Europe's leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely. What You'll Be Doing You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Retail and Consumer space - examples of which can be found here . You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. We're a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution Knowledge of (or interest in) retail-focused solutions around understanding consumer behaviours
Site Name: London The Stanley Building Posted Date: Mar At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Significant technical product management experience Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with andstrong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Monday 8th April 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why Us? GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles . click apply for full job details
Apr 29, 2024
Full time
Site Name: London The Stanley Building Posted Date: Mar At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Significant technical product management experience Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with andstrong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Monday 8th April 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why Us? GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles . click apply for full job details
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Want to push the limit of digital possibilities? Start here. Transaction Banking (TxB) aims to bring innovative solutions to traditional banking and lending activities. We are a global team of lenders, investors, risk managers, skilled marketers, web experts and banking specialists. We provide a suite of solutions to help our customers meet their financial goals. We make direct investments in and manage risk for a portfolio of corporate loans and securities. We help transform distressed communities through investments and loans of private capital. Who We Look For As part of our global team you will work on various components as a Senior Software Engineer. Your role includes leading projects with a group of passionate engineers alongside product owners and clients. You are expected to contribute to the vision, understand our product roadmap, integrate business value with experience and contribute to building an engineering culture within the team. Our flat structure requires and enables team members to evolve through the entire spectrum of the software life-cycle and closely collaborate with product owners, business and operations users. We are looking for someone with lots of energy that has excellent communication skills, enjoys engineering challenges, has a passion to deliver high quality technology products and is able to operate in a highly fluid, rapidly changing environment. HOW YOU WILL FULFILL YOUR POTENTIAL Develop full stack applications with due consideration to security, design, validation and SDLC framework Collaborate with product managers, business operations, engineers to define product requirements, objectives Participate in system design consulting, platform management Develop resilient, scalable and secure modules using cloud native services Manage multiple tasks and use sound judgment when prioritizing Update and maintain documentation for team processes, best practices and software runbooks Must be passionate about technology and engineering Exceptional analytical skills and ability to apply knowledge and experience in decision-making to arrive at creative and commercial solutions BASIC QUALIFICATIONS 5-10 years of relevant professional experience using a modern programming language (preferably Java) BS degree in Computer Science or related technical field involving programming or systems engineering. Proficiency in development with Java, springboot, REST APIs Experience engineering solutions with distributed tracing, Performance testing, Authentication, Authorization Proficiency with algorithms, data structures and software design Experience with UNIX operating systems internals, infrastructure as code-Terraform and networking Proven to work independently in a fast paced and often multi-direction work environment PREFERRED QUALIFICATIONS Experience with development and design of distributed systems Experience with SQL databases (PostgreSQL/Oracle) and nosql (Dynamo/Mongo DB) Experience in financial services specifically corporate cash management desirable Experience with AWS services - Amazon MSK/Apache kafka, ECS/kubernetes, S3, IAM, AWS XRay Comfort with Agile operating models (practical experience of Scrum / Kanban) ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Apr 29, 2024
Full time
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Want to push the limit of digital possibilities? Start here. Transaction Banking (TxB) aims to bring innovative solutions to traditional banking and lending activities. We are a global team of lenders, investors, risk managers, skilled marketers, web experts and banking specialists. We provide a suite of solutions to help our customers meet their financial goals. We make direct investments in and manage risk for a portfolio of corporate loans and securities. We help transform distressed communities through investments and loans of private capital. Who We Look For As part of our global team you will work on various components as a Senior Software Engineer. Your role includes leading projects with a group of passionate engineers alongside product owners and clients. You are expected to contribute to the vision, understand our product roadmap, integrate business value with experience and contribute to building an engineering culture within the team. Our flat structure requires and enables team members to evolve through the entire spectrum of the software life-cycle and closely collaborate with product owners, business and operations users. We are looking for someone with lots of energy that has excellent communication skills, enjoys engineering challenges, has a passion to deliver high quality technology products and is able to operate in a highly fluid, rapidly changing environment. HOW YOU WILL FULFILL YOUR POTENTIAL Develop full stack applications with due consideration to security, design, validation and SDLC framework Collaborate with product managers, business operations, engineers to define product requirements, objectives Participate in system design consulting, platform management Develop resilient, scalable and secure modules using cloud native services Manage multiple tasks and use sound judgment when prioritizing Update and maintain documentation for team processes, best practices and software runbooks Must be passionate about technology and engineering Exceptional analytical skills and ability to apply knowledge and experience in decision-making to arrive at creative and commercial solutions BASIC QUALIFICATIONS 5-10 years of relevant professional experience using a modern programming language (preferably Java) BS degree in Computer Science or related technical field involving programming or systems engineering. Proficiency in development with Java, springboot, REST APIs Experience engineering solutions with distributed tracing, Performance testing, Authentication, Authorization Proficiency with algorithms, data structures and software design Experience with UNIX operating systems internals, infrastructure as code-Terraform and networking Proven to work independently in a fast paced and often multi-direction work environment PREFERRED QUALIFICATIONS Experience with development and design of distributed systems Experience with SQL databases (PostgreSQL/Oracle) and nosql (Dynamo/Mongo DB) Experience in financial services specifically corporate cash management desirable Experience with AWS services - Amazon MSK/Apache kafka, ECS/kubernetes, S3, IAM, AWS XRay Comfort with Agile operating models (practical experience of Scrum / Kanban) ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Core Info Salary : €70,000-90,000 (other currencies available) + up to €25,000 bonus + token allocation from cheqd's employee pool Type : Full-time Start : April 2024 onwards Location: Remote. Our core team is based in London (UK) but we welcome applicants worldwide as we are building a distributed team. Description At cheqd, we are building a vertical suite of solutions to establish trust and help both individuals and organisations take ownership, control and monetise their data and identities in a privacy-preserving and portable manner. cheqd layers privacy-preserving payment infrastructure upon Decentralised Identity, Self-Sovereign Identity (SSI), and Digital or Verifiable Credentials (VCs) to create Trusted Data economies, an entirely new industry category. The scale of distribution is unmatched as cheqd engages with organisations across Artificial Intelligence (AI), Reusable KYC, Lending, Supply Chain, eCommerce, Education, Manufacturing, Gaming, and other sectors. We have built multiple market firsts in establishing privacy-preserving payment infrastructure for credentials using our L1 blockchain network and native token ($CHEQ), as well as a no-code platform ( Creds ) to issue, verify and monetise these same credentials, all underpinned by our Credential Service SaaS API offering for automating and operating at scale. Creds is a no-code platform for individuals and organisations to create, issue, interact and monetise digital credentials (or as we call them, creds). Organisations are using Creds to: Foster community growth, engagement, and loyalty by leveraging analytical insights and applying gamification mechanics, such as learning journeys Supercharge marketing strategies by unleashing their superfans Increase trust by protecting their communities from fraud and scamming across Discord, Telegram, and beyond. Users/members of these organisations are benefiting from building their reputation and being able to port this anywhere they wish, unlocking rewards and loyalty schemes. We have published a great deal of content through our blog, YouTube channel, X/Twitter, and Telegram. We are eager to engage with people who are serious about the space and as such expect someone to have dedicated some time to understand what we're about when they apply. What culture are we building? We're a team of 15 currently, spread across >10 countries. We started in April 2021 and have raised $3.8 million from industry and crypto-focussed VC firms. It's an exciting time at cheqd as our network and suite of products are now ready to be widely adopted. Crucially, we're building a team of people who care deeply about enabling individuals to take control of their data. We're a well-oiled machine, with many of the team coming from corporate backgrounds, however we've well and truly pivoted into startup life. We've built a culture of trust, respect and fairness. We don't constantly check-in, or micromanage. Ultimately we want each individual to thrive and be able to see cheqd as an opportunity to contribute to a great mission, whilst building themselves and their skillset towards their own personal mission. Responsibilities You will report directly to our CEO and will be required to carry out the following functions, among others: Owning the overall partnership and go-to-market strategy to make cheqd's mission successful across our three products: the cheqd blockchain network, our Credential-as-a-Service SaaS product, and Creds.xyz, our decentralised reputation product Be visionary, have foresight and the experience of being the bridge between the markets' needs and products - which enables you to help a company find product market fit for any product or create a fit based on existing needs for new products. Defining and tailoring pricing across our offerings to suit their target markets and achieve sustainable and growing revenue Evangelising our product to B2B / B2B2C go-to-market partners who operate in the digital identity industry and convincing them to join our mission Setting partnership goals including budget, targets and KPIs Developing our sales plan, forecasting and KPIs for reporting to our board and shareholders Performing market analyses to identify: The best partnership targets for cheqd across all areas to ensure success, both in the immediate and long-term Competitors that can become a threat to our sales goals Engaging with go-to-market partners and end-clients to identify product improvements in collaboration with the leadership and Product/Engineering teams Oversight of partnerships with fintech/DeFi providers, e.g. cryptocurrency exchanges and app developers/vendors/ end customers building digital identity products Creation, in collaboration with the wider team, of sales materials across our offerings Work alongside our marketing team to generate, qualify, and follow-up leads Own accounts - manage follow-ups and establish long standing relationship with partners and customers Participation in conferences and events - some travelling will be required About you Proven : You have at least 5 years of experience in partnerships or growth roles, with at least a portion of that in the blockchain, Web3 or digital identity industry. You have a successful track record in relevant roles. You have solid experience working in a startup where you guided partnerships and significant growth. Relationship Builder : You can clearly articulate the opportunity and value proposition of our product portfolio to potential partners. You can empathise with business partners and create tailored approaches to acquire partnerships that accelerate product growth. You are good at distilling complex concepts into simple terms that a range of different audiences in business organisations can easily understand. You can influence stakeholders and decision-makers at various levels of seniority in partner organisations. Passionate: You are passionate about the innovation that is orchestrated by blockchain, digital identity, self-sovereign identity, fintech or DeFi. You are self-motivated and able to work in a fast-paced environment. You love to constantly learn and keep abreast of trends and developments in the industry. Independent: Self-motivated, highly adaptive and able to work well in high stress. Given a firm set of values and guidelines, you can move quickly and independently, using data and fact-based decision-making. Able to work with people and companies across the globe. You can autonomously do high-impact work in a small team, happy to get your hands dirty as necessary to get things done People-oriented: You are adept at seeking out, growing and maintaining relationships. We aim to be a diverse and inclusive company and expect our leaders to demonstrate this by example. Responsive & Communicative: Whether written or orally, your communication skills are outstanding in any context. Excellent command of spoken/written English is essential; command of other languages is a plus. Diversity & Inclusion At cheqd, we celebrate differences, we believe that inclusion is critical to our success and that diversity brings value, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. If you require any accommodations during the recruitment process, please let us know. We are open to supporting candidates working remotely anywhere in the world, as long as it can be satisfied under applicable employment laws. Disclaimer Direct applications only. cheqd does not accept unsolicited CVs from recruiters or employment agencies in response to cheqd website or social media posts. cheqd will not consider or agree to payment of any referral compensation or recruiter fee relating to these unsolicited CVs. cheqd explicitly reserves the right to hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited CVs, including those submitted to hiring managers, are deemed to be the property of cheqd.
Apr 29, 2024
Full time
Core Info Salary : €70,000-90,000 (other currencies available) + up to €25,000 bonus + token allocation from cheqd's employee pool Type : Full-time Start : April 2024 onwards Location: Remote. Our core team is based in London (UK) but we welcome applicants worldwide as we are building a distributed team. Description At cheqd, we are building a vertical suite of solutions to establish trust and help both individuals and organisations take ownership, control and monetise their data and identities in a privacy-preserving and portable manner. cheqd layers privacy-preserving payment infrastructure upon Decentralised Identity, Self-Sovereign Identity (SSI), and Digital or Verifiable Credentials (VCs) to create Trusted Data economies, an entirely new industry category. The scale of distribution is unmatched as cheqd engages with organisations across Artificial Intelligence (AI), Reusable KYC, Lending, Supply Chain, eCommerce, Education, Manufacturing, Gaming, and other sectors. We have built multiple market firsts in establishing privacy-preserving payment infrastructure for credentials using our L1 blockchain network and native token ($CHEQ), as well as a no-code platform ( Creds ) to issue, verify and monetise these same credentials, all underpinned by our Credential Service SaaS API offering for automating and operating at scale. Creds is a no-code platform for individuals and organisations to create, issue, interact and monetise digital credentials (or as we call them, creds). Organisations are using Creds to: Foster community growth, engagement, and loyalty by leveraging analytical insights and applying gamification mechanics, such as learning journeys Supercharge marketing strategies by unleashing their superfans Increase trust by protecting their communities from fraud and scamming across Discord, Telegram, and beyond. Users/members of these organisations are benefiting from building their reputation and being able to port this anywhere they wish, unlocking rewards and loyalty schemes. We have published a great deal of content through our blog, YouTube channel, X/Twitter, and Telegram. We are eager to engage with people who are serious about the space and as such expect someone to have dedicated some time to understand what we're about when they apply. What culture are we building? We're a team of 15 currently, spread across >10 countries. We started in April 2021 and have raised $3.8 million from industry and crypto-focussed VC firms. It's an exciting time at cheqd as our network and suite of products are now ready to be widely adopted. Crucially, we're building a team of people who care deeply about enabling individuals to take control of their data. We're a well-oiled machine, with many of the team coming from corporate backgrounds, however we've well and truly pivoted into startup life. We've built a culture of trust, respect and fairness. We don't constantly check-in, or micromanage. Ultimately we want each individual to thrive and be able to see cheqd as an opportunity to contribute to a great mission, whilst building themselves and their skillset towards their own personal mission. Responsibilities You will report directly to our CEO and will be required to carry out the following functions, among others: Owning the overall partnership and go-to-market strategy to make cheqd's mission successful across our three products: the cheqd blockchain network, our Credential-as-a-Service SaaS product, and Creds.xyz, our decentralised reputation product Be visionary, have foresight and the experience of being the bridge between the markets' needs and products - which enables you to help a company find product market fit for any product or create a fit based on existing needs for new products. Defining and tailoring pricing across our offerings to suit their target markets and achieve sustainable and growing revenue Evangelising our product to B2B / B2B2C go-to-market partners who operate in the digital identity industry and convincing them to join our mission Setting partnership goals including budget, targets and KPIs Developing our sales plan, forecasting and KPIs for reporting to our board and shareholders Performing market analyses to identify: The best partnership targets for cheqd across all areas to ensure success, both in the immediate and long-term Competitors that can become a threat to our sales goals Engaging with go-to-market partners and end-clients to identify product improvements in collaboration with the leadership and Product/Engineering teams Oversight of partnerships with fintech/DeFi providers, e.g. cryptocurrency exchanges and app developers/vendors/ end customers building digital identity products Creation, in collaboration with the wider team, of sales materials across our offerings Work alongside our marketing team to generate, qualify, and follow-up leads Own accounts - manage follow-ups and establish long standing relationship with partners and customers Participation in conferences and events - some travelling will be required About you Proven : You have at least 5 years of experience in partnerships or growth roles, with at least a portion of that in the blockchain, Web3 or digital identity industry. You have a successful track record in relevant roles. You have solid experience working in a startup where you guided partnerships and significant growth. Relationship Builder : You can clearly articulate the opportunity and value proposition of our product portfolio to potential partners. You can empathise with business partners and create tailored approaches to acquire partnerships that accelerate product growth. You are good at distilling complex concepts into simple terms that a range of different audiences in business organisations can easily understand. You can influence stakeholders and decision-makers at various levels of seniority in partner organisations. Passionate: You are passionate about the innovation that is orchestrated by blockchain, digital identity, self-sovereign identity, fintech or DeFi. You are self-motivated and able to work in a fast-paced environment. You love to constantly learn and keep abreast of trends and developments in the industry. Independent: Self-motivated, highly adaptive and able to work well in high stress. Given a firm set of values and guidelines, you can move quickly and independently, using data and fact-based decision-making. Able to work with people and companies across the globe. You can autonomously do high-impact work in a small team, happy to get your hands dirty as necessary to get things done People-oriented: You are adept at seeking out, growing and maintaining relationships. We aim to be a diverse and inclusive company and expect our leaders to demonstrate this by example. Responsive & Communicative: Whether written or orally, your communication skills are outstanding in any context. Excellent command of spoken/written English is essential; command of other languages is a plus. Diversity & Inclusion At cheqd, we celebrate differences, we believe that inclusion is critical to our success and that diversity brings value, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. If you require any accommodations during the recruitment process, please let us know. We are open to supporting candidates working remotely anywhere in the world, as long as it can be satisfied under applicable employment laws. Disclaimer Direct applications only. cheqd does not accept unsolicited CVs from recruiters or employment agencies in response to cheqd website or social media posts. cheqd will not consider or agree to payment of any referral compensation or recruiter fee relating to these unsolicited CVs. cheqd explicitly reserves the right to hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited CVs, including those submitted to hiring managers, are deemed to be the property of cheqd.
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours. Do you want to help Spotify invent new personalized sessions with generative voice AI to delight users? In this role, you will provide leadership to Spotify's Text-to-Speech (TTS) team, Speak, to create generated voice audio that enriches users' experience of music and podcast recommendations. What You'll do Be accountable for your team's delivery of new voice experiences at the heart of music and podcast sessions users love. Provide servant leadership to 10 applied research scientists, machine learning engineers, backend engineers, and data specialists. Cultivate a balanced, collaborative engineering culture and a diverse and inclusive team that reflects our customers and our world. Together with collaborators in Speak, you will contribute to a generative voice AI vision and strategy that keeps Spotify at the forefront of innovation in the field. Collaborate with Speak's technical and product leads to define success metrics and roadmaps. Influence and support the development of the technical design and architecture of the Speak team's stack. Advocate for and increase knowledge of advanced voice capabilities across the company. Who You Are You have significant expertise in and deep passion for generative voice and speech. Or, you have significant experience in modern generative audio and are willing to make voice and speech your passion. You have demonstrated the ability to lead a text-to-speech or modern generative AI audio team (e.g. transformers, diffusion) to incorporate generative AI into consumer facing products, continuously making the models better for users while optimizing performance and cost. You practice servant leadership, have strong mentorship and coaching skills, and thrive when helping individuals and teams perform to their full potential. You are able to distill complex information into easy-to-understand concepts, and understand how to lead a team through ambiguity. You thrive when bringing research to market as amazing products for users. Where You'll Be For this role there will be some in person meetings, but still allows for flexibility to work from home. We ask that you come into the London office at least 1 time per week. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.
Apr 27, 2024
Full time
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours. Do you want to help Spotify invent new personalized sessions with generative voice AI to delight users? In this role, you will provide leadership to Spotify's Text-to-Speech (TTS) team, Speak, to create generated voice audio that enriches users' experience of music and podcast recommendations. What You'll do Be accountable for your team's delivery of new voice experiences at the heart of music and podcast sessions users love. Provide servant leadership to 10 applied research scientists, machine learning engineers, backend engineers, and data specialists. Cultivate a balanced, collaborative engineering culture and a diverse and inclusive team that reflects our customers and our world. Together with collaborators in Speak, you will contribute to a generative voice AI vision and strategy that keeps Spotify at the forefront of innovation in the field. Collaborate with Speak's technical and product leads to define success metrics and roadmaps. Influence and support the development of the technical design and architecture of the Speak team's stack. Advocate for and increase knowledge of advanced voice capabilities across the company. Who You Are You have significant expertise in and deep passion for generative voice and speech. Or, you have significant experience in modern generative audio and are willing to make voice and speech your passion. You have demonstrated the ability to lead a text-to-speech or modern generative AI audio team (e.g. transformers, diffusion) to incorporate generative AI into consumer facing products, continuously making the models better for users while optimizing performance and cost. You practice servant leadership, have strong mentorship and coaching skills, and thrive when helping individuals and teams perform to their full potential. You are able to distill complex information into easy-to-understand concepts, and understand how to lead a team through ambiguity. You thrive when bringing research to market as amazing products for users. Where You'll Be For this role there will be some in person meetings, but still allows for flexibility to work from home. We ask that you come into the London office at least 1 time per week. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.
We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. About Cleo: Most people come to Cleo to do work that matters. Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being. Backed by some of the most well-known investors in tech, we've reached millions of people to support them throughout their financial lives, from their first paycheck to their first home and beyond. We're hitting headlines too. This year, Forbes named us as one of their Next Billion Dollar Startups, and we were crowned the 'Hottest Tech Scaleup' at the Europas. Follow us on LinkedIn to keep up to date with new product features and insights from the team. The Role: You'll be a key member of our Plus & Money platform pillar, specifically working within the Payments and Lending team, responsible for enhancing our product features to support user financial health by leveraging data science and machine learning to refine and advance Cleo's product offerings. Responsibilities: Drive DS/ML Enablement and Innovation: Work on the enablement side of DS payments and lending, developing new commercially focused models and taking them from an idea, to production and generating value. Optimise Existing Models: Take ownership of critical existing models that currently drive our risk assessment and payments decisioning, optimising them to deliver their full potential. Infrastructure Development: Drive initiatives to improve Cleo's modelling infrastructure to enable their seamless use across the company, owning metrics like model latency, quality and robustness. Collaborate Across Functions: Work collaboratively with other squads to enhance product capabilities by scaling the use of commercial models and identifying new modelling applications What We're Looking For: Experience in Product Management: 3+ years in product management, focusing on consumer product growth and optimization, with a background in leveraging data analytics and user insights for product development. Data Science and Machine Learning: Strong understanding of DS/ML problems and solutions, passionate about leveraging these skills to drive growth, optimize product offerings, and enhance financial well-being. Hands-On Collaboration: Enjoy working closely with a cross-functional team, including analysts, designers, marketers, and engineers. Strategic Involvement: Actively involve your product squad in strategic planning and decision-making processes. Why This Role Is Exciting: Impactful Work: Drive significant improvements in financial health for users through innovative data science and machine learning projects. Cross-Functional Influence: Shape the future of Cleo's product offerings by working with cross-functional teams in implementing data-driven decisions. How long will the process take? Step 1: Call with a member of our Talent Team to find out more about your experience and why you want to work at Cleo Step 2: 45-60 minutes with another of our ML focused Product Managers Step 3: Live product task interview, to be presented to one of our Product Managers and Data Scientists Step 4: 45 minutes each with two cross-functional peers from Engineering, Design or Analytics What do you get for all your hard work? A competitive compensation package (base + equity). You can view our public progression framework and salary bandings here: This role is level PM4. Work at one of the fastest-growing tech startups, backed by top VC firms like Sofina, Balderton & EQT Ventures. A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support. Flexibility : We treat you as humans first, employees second. Because we can't fight for the world's financial health, if we're not healthy ourselves. This means all the usual perks but it also means flexibility. We take pride in being a flexible workplace that trusts our Cleople to deliver their best work, giving you the autonomy to structure your day around morning drop-offs to school or daily dog walks. Hybrid-first: Join our hybrid-first team, where we blend the best of both remote and in-office work. We expect our team members to be in our London office 1-2 times a week. On Thursdays, we buy you lunch but you can come to the office on whichever days work best for you! Other benefits; 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo) Check out our new benefits package here: 6% employer-matched pension in the UK Company-wide performance reviews every 8 months e.g every 2 terms, in line with our termly cycles (Jan-April, May-Aug, Sept-Dec): Generous pay increases for high-performers and high-growth team members Equity top-ups for team members getting promoted Private Medical Insurance via Vitality, dental cover, and life assurance Enhanced parental leave 1 month paid sabbatical after 4 years at Cleo Regular socials and activities, online and in-person We'll pay for your OpenAI subscription Online mental health support via Spill And many more! UK App access: The Cleo app is no longer downloadable in the UK. Why? 99% of our users are based in the US - where financial health is often overlooked. We've decided to shift our focus to where we can provide the most value and make the greatest impact.
Apr 27, 2024
Full time
We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. About Cleo: Most people come to Cleo to do work that matters. Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being. Backed by some of the most well-known investors in tech, we've reached millions of people to support them throughout their financial lives, from their first paycheck to their first home and beyond. We're hitting headlines too. This year, Forbes named us as one of their Next Billion Dollar Startups, and we were crowned the 'Hottest Tech Scaleup' at the Europas. Follow us on LinkedIn to keep up to date with new product features and insights from the team. The Role: You'll be a key member of our Plus & Money platform pillar, specifically working within the Payments and Lending team, responsible for enhancing our product features to support user financial health by leveraging data science and machine learning to refine and advance Cleo's product offerings. Responsibilities: Drive DS/ML Enablement and Innovation: Work on the enablement side of DS payments and lending, developing new commercially focused models and taking them from an idea, to production and generating value. Optimise Existing Models: Take ownership of critical existing models that currently drive our risk assessment and payments decisioning, optimising them to deliver their full potential. Infrastructure Development: Drive initiatives to improve Cleo's modelling infrastructure to enable their seamless use across the company, owning metrics like model latency, quality and robustness. Collaborate Across Functions: Work collaboratively with other squads to enhance product capabilities by scaling the use of commercial models and identifying new modelling applications What We're Looking For: Experience in Product Management: 3+ years in product management, focusing on consumer product growth and optimization, with a background in leveraging data analytics and user insights for product development. Data Science and Machine Learning: Strong understanding of DS/ML problems and solutions, passionate about leveraging these skills to drive growth, optimize product offerings, and enhance financial well-being. Hands-On Collaboration: Enjoy working closely with a cross-functional team, including analysts, designers, marketers, and engineers. Strategic Involvement: Actively involve your product squad in strategic planning and decision-making processes. Why This Role Is Exciting: Impactful Work: Drive significant improvements in financial health for users through innovative data science and machine learning projects. Cross-Functional Influence: Shape the future of Cleo's product offerings by working with cross-functional teams in implementing data-driven decisions. How long will the process take? Step 1: Call with a member of our Talent Team to find out more about your experience and why you want to work at Cleo Step 2: 45-60 minutes with another of our ML focused Product Managers Step 3: Live product task interview, to be presented to one of our Product Managers and Data Scientists Step 4: 45 minutes each with two cross-functional peers from Engineering, Design or Analytics What do you get for all your hard work? A competitive compensation package (base + equity). You can view our public progression framework and salary bandings here: This role is level PM4. Work at one of the fastest-growing tech startups, backed by top VC firms like Sofina, Balderton & EQT Ventures. A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support. Flexibility : We treat you as humans first, employees second. Because we can't fight for the world's financial health, if we're not healthy ourselves. This means all the usual perks but it also means flexibility. We take pride in being a flexible workplace that trusts our Cleople to deliver their best work, giving you the autonomy to structure your day around morning drop-offs to school or daily dog walks. Hybrid-first: Join our hybrid-first team, where we blend the best of both remote and in-office work. We expect our team members to be in our London office 1-2 times a week. On Thursdays, we buy you lunch but you can come to the office on whichever days work best for you! Other benefits; 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo) Check out our new benefits package here: 6% employer-matched pension in the UK Company-wide performance reviews every 8 months e.g every 2 terms, in line with our termly cycles (Jan-April, May-Aug, Sept-Dec): Generous pay increases for high-performers and high-growth team members Equity top-ups for team members getting promoted Private Medical Insurance via Vitality, dental cover, and life assurance Enhanced parental leave 1 month paid sabbatical after 4 years at Cleo Regular socials and activities, online and in-person We'll pay for your OpenAI subscription Online mental health support via Spill And many more! UK App access: The Cleo app is no longer downloadable in the UK. Why? 99% of our users are based in the US - where financial health is often overlooked. We've decided to shift our focus to where we can provide the most value and make the greatest impact.
We strongly encourage applications from people of color, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. About Cleo Most people come to Cleo to do work that matters. Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being. Backed by some of the most well-known investors in tech, we've reached millions of people to support them throughout their financial lives, from their first paycheck to their first home and beyond. We're hitting headlines too. This year, Forbes named us as one of their Next Billion Dollar Startups, and we were crowned the 'Hottest Tech Scaleup' at the Europas. Follow us on LinkedIn to keep up to date with new product features and insights from the team. The Role This role contract role - you'll be a key member of our Machine Learning and Chat pillar, responsible for Cleo's ability to have meaningful and delightful conversations with our users. This product area will be central to our vision of empowering people to make smarter financial decisions. You will: Lead three critical Machine Learning Product teams focusing on the following but not limited to Platform Development, Coach/Insights Generation, Experience & Onboarding, and the future capabilities of this product area Hire, build, develop, and lead a high performing product management team. Lead and mentor a talented team of Lead Product Managers, fostering their career growth and strategic leadership skills. Work closely with your partners in product, engineering, design, user research, and data to ensure Cleo is delivering to business and users' needs. Consistently deliver impactful initiatives that deliver customer value and business results. We are looking for someone who has: Creativity in solving complex problems and a vision for the future of AI in personal finance. Experience in managing product managers and a history of building new products (0 1) as well as a track record of shipping continuous product improvements, ideally for a consumer-facing mobile app. Energy and drive to ensure that your product is successful and has an impact. People would describe you as a force of nature who cares about their team. Previous experience related to leading multiple product teams in the context of using machine learning (ML) and generative AI to solve customer problems. How Long Will the Process Take? We aim to move as fast as possible. Usually, 1-2 weeks is enough time for us all to get to know each other. UK App access: The Cleo app is no longer downloadable in the UK. If you're an existing user, you'll still have access to the app. But some features won't be available. Why? 99% of our users are based in the US - where financial health is often overlooked. We've decided to shift our focus to where we can provide the most value and make the greatest impact for users who need it most. Then we'll be able to apply what we learn to better support our UK users in the future.
Apr 26, 2024
Full time
We strongly encourage applications from people of color, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. About Cleo Most people come to Cleo to do work that matters. Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being. Backed by some of the most well-known investors in tech, we've reached millions of people to support them throughout their financial lives, from their first paycheck to their first home and beyond. We're hitting headlines too. This year, Forbes named us as one of their Next Billion Dollar Startups, and we were crowned the 'Hottest Tech Scaleup' at the Europas. Follow us on LinkedIn to keep up to date with new product features and insights from the team. The Role This role contract role - you'll be a key member of our Machine Learning and Chat pillar, responsible for Cleo's ability to have meaningful and delightful conversations with our users. This product area will be central to our vision of empowering people to make smarter financial decisions. You will: Lead three critical Machine Learning Product teams focusing on the following but not limited to Platform Development, Coach/Insights Generation, Experience & Onboarding, and the future capabilities of this product area Hire, build, develop, and lead a high performing product management team. Lead and mentor a talented team of Lead Product Managers, fostering their career growth and strategic leadership skills. Work closely with your partners in product, engineering, design, user research, and data to ensure Cleo is delivering to business and users' needs. Consistently deliver impactful initiatives that deliver customer value and business results. We are looking for someone who has: Creativity in solving complex problems and a vision for the future of AI in personal finance. Experience in managing product managers and a history of building new products (0 1) as well as a track record of shipping continuous product improvements, ideally for a consumer-facing mobile app. Energy and drive to ensure that your product is successful and has an impact. People would describe you as a force of nature who cares about their team. Previous experience related to leading multiple product teams in the context of using machine learning (ML) and generative AI to solve customer problems. How Long Will the Process Take? We aim to move as fast as possible. Usually, 1-2 weeks is enough time for us all to get to know each other. UK App access: The Cleo app is no longer downloadable in the UK. If you're an existing user, you'll still have access to the app. But some features won't be available. Why? 99% of our users are based in the US - where financial health is often overlooked. We've decided to shift our focus to where we can provide the most value and make the greatest impact for users who need it most. Then we'll be able to apply what we learn to better support our UK users in the future.
Job description Site Name: London The Stanley Building Posted Date: Apr At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with and strong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Monday 6th May 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition . click apply for full job details
Apr 26, 2024
Full time
Job description Site Name: London The Stanley Building Posted Date: Apr At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with and strong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Monday 6th May 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition . click apply for full job details
Role: Senior Product Manager Location: London (Remote First) Recently listed as a "RegTech Top Performer" in Market Fintech's RegTech Supplier Performance Report, CUBE is pioneering the development of machine automated compliance. We are a global RegTech business defining and implementing the gold standard of regulatory intelligence and change for the financial services industry. We deliver our services through a SaaS platform, powered by an innovative combination of AI and proprietary data ontology, to simplify the complex and everchanging world of compliance for our clients. CUBE is creating the future and are a company rooted in strong values, team spirit and commitment to our customers and wider communities. We serve some of the largest financial institutions globally and are expanding our footprint very fast. As we do so, we are keen for new talent to join us and realize their full potential to grow into leadership positions within the business. Our Products: RegPlatform is an Enterprise grade technology platform that streamlines regulatory change management. It provides firms with a one-stop, continuously maintained inventory of global regulations, with effortless horizon scanning, integration capabilities and workflow management. RegPlatform combines industry leading AI technology with expert validated insights to simplify the complexities of multi-jurisdictional regulatory content. RegAssure caters for nimble, lean financial organizations that want assured, seamless compliance without the burden of set-up costs and implementation processes. RegAssure provides fast, automated regulatory intelligence that intuitively knows your business needs and can grow with you. Role mission: We're looking for a delivery orientated Senior Product Manager who is looking to progress their career and take full ownership of our RegPlatform product.As a Senior Product Manager, you will play a crucial role in driving and delivering the strategic vision and development of our automated regulatory intelligence solutions. your mission is to ensure wemaintain our market-leading position and to ensure the success of our products in the market. This position is ideal for a seasoned professional with a strong background in Enterprise SaaS product management, a deep understanding of financial services regulations, and a passion for delivering transformative solutions. Responsibilities: Roadmap Development - Create and maintain a comprehensive product roadmap and delivery plan that prioritizes features and enhancements based on market demand, customer feedback, strategic initiatives, and client commitments. Cross-Functional Collaboration - Collaborate closely with engineering, design, marketing, and sales teams to ensure seamless execution of the product roadmap. Work with product, sales, and marketing to develop effective go-to-market strategies for new product releases. Customer Engagement - Engage with customers and subject matter experts to understand their evolving needs, pain points, and opportunities for improvement. Regulatory Expertise - Develop and maintain a deep understanding of financial services regulations globally, with a focus on how regulatory changes are managed by our target customers. Product Lifecycle Management - Lead the entire product lifecycle, from ideation to launch and ongoing enhancements. Define and monitor key performance indicators (KPIs) to assess product performance and user satisfaction. Team Leadership - Provide product leadership across multiple departments, fostering a culture of innovation, collaboration, and continuous improvement. Product Strategy - Develop and articulate a clear product strategy aligned with the overall business goals and market needs. Conduct market research, competitor analysis, and stay abreast of regulatory trends to inform product direction. What we're looking for: Proven experience (7+ years) in product management for enterprise SaaS solutions. Understanding of financial services regulations and regulatory change management. Strong analytical and problem-solving skills with a data-driven approach. Excellent communication and presentation skills. Demonstrated ability to lead cross-functional teams and drive results. Why Us? Globally, we are one of a kind! CUBE is a well-established player in Regtech (we were around before Regtech was even a thing!), and our category-defining product is used by leading financial institutions around the world (including Revolut, Citi, and HSBC). We cover over 5,000 issuing bodies in 712 jurisdictions across 180 countries. Substantially more than our closest competitors. Freedom, flexibility & progression. We are the market leader within Regtech, and yet we are constantly evolving and you will have a significant influence over how we develop moving forwards. We will help you realise your full potential and grow into leadership positions across CUBE. ️ Internationally collaborative culture CUBE has more than 400 CUBERs across 11 locations in Europe, the Americas and APAC and we are united by our strong team-oriented culture. You will have the opportunity to work with likeminded colleagues from all over the world, gaining exposure to different cultures and business practices. Innovative & meaningful work We are always exploring new technologies and innovations that can help clients solve complex problems. If you're someone seeking the opportunity to work with cutting edge technology and work on challenging projects that have a real impact then we want to hear from you! Work life balance CUBE is a remote first business, you'll be able to design your home office and choose your own work equipment. Unable to work from home one week, or desperate for in-person interaction with colleagues? No problem-book a room in a coworking space or join one of our department monthly team meets (they're happening all the time!). Diversity, Equity andInclusion: We believe in equal opportunities and encourage applicants to apply to our open roles regardless of gender, marital status, race, nationality, ethnicity, religion, neurodiversity , sexual orientation and/or age and are committed to providing a wo rking environment where everyone is supported to be their authentic best selves. At CUBE we do our best to implement inclusive hiring processes to build a culture where we value diversity. We are a values driven company who care about growth and learning, therefore recognise we still have long way to go from where we want to be in regards to DE&I. As part of the application, we ask for personal datafor our internal diversity and inclusion bench-marking, so that we can tailor our DE&I strategies and identify opportunities to improve as a business.
Apr 25, 2024
Full time
Role: Senior Product Manager Location: London (Remote First) Recently listed as a "RegTech Top Performer" in Market Fintech's RegTech Supplier Performance Report, CUBE is pioneering the development of machine automated compliance. We are a global RegTech business defining and implementing the gold standard of regulatory intelligence and change for the financial services industry. We deliver our services through a SaaS platform, powered by an innovative combination of AI and proprietary data ontology, to simplify the complex and everchanging world of compliance for our clients. CUBE is creating the future and are a company rooted in strong values, team spirit and commitment to our customers and wider communities. We serve some of the largest financial institutions globally and are expanding our footprint very fast. As we do so, we are keen for new talent to join us and realize their full potential to grow into leadership positions within the business. Our Products: RegPlatform is an Enterprise grade technology platform that streamlines regulatory change management. It provides firms with a one-stop, continuously maintained inventory of global regulations, with effortless horizon scanning, integration capabilities and workflow management. RegPlatform combines industry leading AI technology with expert validated insights to simplify the complexities of multi-jurisdictional regulatory content. RegAssure caters for nimble, lean financial organizations that want assured, seamless compliance without the burden of set-up costs and implementation processes. RegAssure provides fast, automated regulatory intelligence that intuitively knows your business needs and can grow with you. Role mission: We're looking for a delivery orientated Senior Product Manager who is looking to progress their career and take full ownership of our RegPlatform product.As a Senior Product Manager, you will play a crucial role in driving and delivering the strategic vision and development of our automated regulatory intelligence solutions. your mission is to ensure wemaintain our market-leading position and to ensure the success of our products in the market. This position is ideal for a seasoned professional with a strong background in Enterprise SaaS product management, a deep understanding of financial services regulations, and a passion for delivering transformative solutions. Responsibilities: Roadmap Development - Create and maintain a comprehensive product roadmap and delivery plan that prioritizes features and enhancements based on market demand, customer feedback, strategic initiatives, and client commitments. Cross-Functional Collaboration - Collaborate closely with engineering, design, marketing, and sales teams to ensure seamless execution of the product roadmap. Work with product, sales, and marketing to develop effective go-to-market strategies for new product releases. Customer Engagement - Engage with customers and subject matter experts to understand their evolving needs, pain points, and opportunities for improvement. Regulatory Expertise - Develop and maintain a deep understanding of financial services regulations globally, with a focus on how regulatory changes are managed by our target customers. Product Lifecycle Management - Lead the entire product lifecycle, from ideation to launch and ongoing enhancements. Define and monitor key performance indicators (KPIs) to assess product performance and user satisfaction. Team Leadership - Provide product leadership across multiple departments, fostering a culture of innovation, collaboration, and continuous improvement. Product Strategy - Develop and articulate a clear product strategy aligned with the overall business goals and market needs. Conduct market research, competitor analysis, and stay abreast of regulatory trends to inform product direction. What we're looking for: Proven experience (7+ years) in product management for enterprise SaaS solutions. Understanding of financial services regulations and regulatory change management. Strong analytical and problem-solving skills with a data-driven approach. Excellent communication and presentation skills. Demonstrated ability to lead cross-functional teams and drive results. Why Us? Globally, we are one of a kind! CUBE is a well-established player in Regtech (we were around before Regtech was even a thing!), and our category-defining product is used by leading financial institutions around the world (including Revolut, Citi, and HSBC). We cover over 5,000 issuing bodies in 712 jurisdictions across 180 countries. Substantially more than our closest competitors. Freedom, flexibility & progression. We are the market leader within Regtech, and yet we are constantly evolving and you will have a significant influence over how we develop moving forwards. We will help you realise your full potential and grow into leadership positions across CUBE. ️ Internationally collaborative culture CUBE has more than 400 CUBERs across 11 locations in Europe, the Americas and APAC and we are united by our strong team-oriented culture. You will have the opportunity to work with likeminded colleagues from all over the world, gaining exposure to different cultures and business practices. Innovative & meaningful work We are always exploring new technologies and innovations that can help clients solve complex problems. If you're someone seeking the opportunity to work with cutting edge technology and work on challenging projects that have a real impact then we want to hear from you! Work life balance CUBE is a remote first business, you'll be able to design your home office and choose your own work equipment. Unable to work from home one week, or desperate for in-person interaction with colleagues? No problem-book a room in a coworking space or join one of our department monthly team meets (they're happening all the time!). Diversity, Equity andInclusion: We believe in equal opportunities and encourage applicants to apply to our open roles regardless of gender, marital status, race, nationality, ethnicity, religion, neurodiversity , sexual orientation and/or age and are committed to providing a wo rking environment where everyone is supported to be their authentic best selves. At CUBE we do our best to implement inclusive hiring processes to build a culture where we value diversity. We are a values driven company who care about growth and learning, therefore recognise we still have long way to go from where we want to be in regards to DE&I. As part of the application, we ask for personal datafor our internal diversity and inclusion bench-marking, so that we can tailor our DE&I strategies and identify opportunities to improve as a business.
EssenceMediacomX, part of GroupM, is a global data and measurement-driven media agency whose mission is to make advertising more valuable to the world. Our office sits within the legacy Essence building on Oxford Street. We still have all our wonderful essentials looking after our amazing clients! Our clients include many exciting brands such as Google, ITV, Airbnb, BT/EE, NBCUniversal and L'Oréal to name a few. Visit for more information! About the role The Media Technology team is responsible for building custom tools, prototypes and innovative solutions for our media teams. The Media Technology Associate Director will be responsible for establishing and delivering the technical roadmap in conjunction with their allocated client. The role involves working with Media Technology Managers and Media Technology Executives to streamline workflow and drive efficiencies for client teams, including Activation, Client Services and Planning. The role involves managing 2 members, overseeing their work and their development to successfully execute projects. Some of the things we'd like you to do: Scope and develop the tools and solutions that are already on the roadmap. This will notably be the case for tools which roadmap has already been approved via a SOW and will require you to connect to advertising platforms' APIs, generate information via machine learning models, manipulate, stitch data in BigQuery and present results back in reporting suites. Internal & client communications to discuss latest developments, gather feedback on potential improvements, scope out new needs, and create requirements Oversee development, maintenance, and creation of proprietary tech tools and processes with Media Activation team Be the primary point of contact between the Media Activation team and regular stakeholders both internal & external for their account(s) Develop strong relationships with Activation channel leads, supplier API contacts, and lead team communications with these stakeholders Manage, support and upskill the junior members of the team A bit about yourself: Bachelor's degree in a Media/Advertising, Computer Science or a related field Approximately 3-5 years experience in a digital media agency on a technology based role or within a software engineering company/department. Proficiency in SQL and experience with BigQuery, proficiency in dbt is highly desirable Prior experience with key marketing platform APIs (e.g. Google Ads and Meta APIs) 1-2 years of experience in building applications within the Google Cloud Platform Previous experience or willingness to learn more about the ad tech ecosystem A passion for everything digital, with an active interest and understanding of ad tech Excellent communication skills, both verbal and written, are particularly important in developing client relationships and maintaining efficient communication in the team Great analysis skills (including quantitative analysis) and confidence in making information-based decisions What you can expect from EssenceMediacomX EssenceMediacomX's mission is to make advertising more valuable to the world. We do this by employing the world's very best talent to solve some of the toughest challenges of today's digital marketing landscape. It's important that we hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. As an EssenceMediacomX employee, we promise you a workplace that invests in your career, cares for you and is fun and engaging. We believe these factors create a workplace where you can be yourself and do amazing work. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, or marital status.
Apr 25, 2024
Full time
EssenceMediacomX, part of GroupM, is a global data and measurement-driven media agency whose mission is to make advertising more valuable to the world. Our office sits within the legacy Essence building on Oxford Street. We still have all our wonderful essentials looking after our amazing clients! Our clients include many exciting brands such as Google, ITV, Airbnb, BT/EE, NBCUniversal and L'Oréal to name a few. Visit for more information! About the role The Media Technology team is responsible for building custom tools, prototypes and innovative solutions for our media teams. The Media Technology Associate Director will be responsible for establishing and delivering the technical roadmap in conjunction with their allocated client. The role involves working with Media Technology Managers and Media Technology Executives to streamline workflow and drive efficiencies for client teams, including Activation, Client Services and Planning. The role involves managing 2 members, overseeing their work and their development to successfully execute projects. Some of the things we'd like you to do: Scope and develop the tools and solutions that are already on the roadmap. This will notably be the case for tools which roadmap has already been approved via a SOW and will require you to connect to advertising platforms' APIs, generate information via machine learning models, manipulate, stitch data in BigQuery and present results back in reporting suites. Internal & client communications to discuss latest developments, gather feedback on potential improvements, scope out new needs, and create requirements Oversee development, maintenance, and creation of proprietary tech tools and processes with Media Activation team Be the primary point of contact between the Media Activation team and regular stakeholders both internal & external for their account(s) Develop strong relationships with Activation channel leads, supplier API contacts, and lead team communications with these stakeholders Manage, support and upskill the junior members of the team A bit about yourself: Bachelor's degree in a Media/Advertising, Computer Science or a related field Approximately 3-5 years experience in a digital media agency on a technology based role or within a software engineering company/department. Proficiency in SQL and experience with BigQuery, proficiency in dbt is highly desirable Prior experience with key marketing platform APIs (e.g. Google Ads and Meta APIs) 1-2 years of experience in building applications within the Google Cloud Platform Previous experience or willingness to learn more about the ad tech ecosystem A passion for everything digital, with an active interest and understanding of ad tech Excellent communication skills, both verbal and written, are particularly important in developing client relationships and maintaining efficient communication in the team Great analysis skills (including quantitative analysis) and confidence in making information-based decisions What you can expect from EssenceMediacomX EssenceMediacomX's mission is to make advertising more valuable to the world. We do this by employing the world's very best talent to solve some of the toughest challenges of today's digital marketing landscape. It's important that we hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. As an EssenceMediacomX employee, we promise you a workplace that invests in your career, cares for you and is fun and engaging. We believe these factors create a workplace where you can be yourself and do amazing work. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, or marital status.
We're seeking a TPM with a strong foundation in point of sale, payment processing technologies, cloud infrastructure, and agile methodologies to support the innovation and technical excellence of the WelcomeOS product. Product London, UK (Remote) Company Introduction Welcome Technology Corporation is introducing WelcomeOS, designed to directly address the longstanding challenges facing the restaurant industry, including hidden fees, complex tech stacks, and cumbersome digital integration processes. Founded in 2023 by Shane (Co-Founder & CEO) and Tom (Co-Founder & CTO), who bring a combined legacy of innovation and leadership from both startup environments and multinational companies, WelcomeOS is set to streamline restaurant operations in NYC and beyond. Supported by some of New York's most influential real estate investors, leading restaurant groups, and notable brands, WelcomeOS is positioned as a practical, impactful tool for the industry. Our goal is to enable restaurants to enhance their service, manage their margins more effectively, and integrate essential digital services seamlessly. Our platform is built on the principle of transparency, aiming to significantly reduce processing fees and simplify the technology needed for restaurants to operate efficiently and grow. With a globally distributed engineering team and technology leadership in London, WelcomeOS leverages global talent to deliver a robust solution tailored to the specific needs of restaurant groups. In essence, Welcome Technology Corporation and WelcomeOS represent a commitment to improving the operational landscape for restaurants through technology that's accessible, straightforward, and effective. We're here to offer an alternative that's ready to meet the industry's current and future challenges head-on. Role Summary & Purpose Welcome is seeking a proactive and insightful Technical Product Manager (TPM) to spearhead the evolution of WelcomeOS by identifying customer needs and translating them into robust technical requirements. The ideal candidate will possess a deep understanding of both the restaurant industry and technological trends, enabling them to guide our development, architecture, quality assurance, and operations teams effectively. This role demands a strategic thinker who can assess emerging technologies and market shifts to ensure WelcomeOS remains at the forefront of innovation. As a key figure in the expansion of WelcomeOS, you will play a crucial role in defining the future of restaurant management technology. This position offers a unique opportunity to make a tangible impact on the industry while paving the path for professional growth and leadership within a nimble, dynamic and forward-thinking team. Role Responsibilities Collaborate with cross-functional teams to align on product strategy and understand business and customer needs. Translate customer insights into detailed technical requirements for development teams. Stay ahead of industry trends and evaluate new technologies for potential integration into WelcomeOS. Conduct competitive analysis to ensure our offerings remain competitive. Deliver training sessions for both internal teams and customers on WelcomeOS functionalities. Address technical queries and support issues, ensuring a high level of product knowledge and customer satisfaction. Oversee technical risk assessments and mitigation strategies. Analyze data to inform product decisions and measure success. Spearhead product documentation, beta testing, and feedback collection processes. Manage multiple projects simultaneously, prioritising effectively to meet deadlines and achieve objectives. Minimum of 5 years in technical product management, with a proven track record of successful product launches and growth. Familiarity with the restaurant industry and its technological needs. Demonstrated experience in managing products that integrate complex technologies, including but not limited to payment processing solutions like FreedomPay, and understanding the technical nuances of PCI compliance standards. Solid grasp of system architecture principles, especially as they relate to cloud-based solutions and microservices architectures, ensuring scalability and security of payment processing and operational functionalities. Proficiency in utilizing advanced analytics and data visualization tools (e.g., Tableau, Google Analytics) to drive product strategy and user experience improvements. Experience with SQL or similar databases for data querying and analysis. In-depth knowledge of cybersecurity best practices, data protection regulations (e.g., GDPR in Europe), and ensuring the product consistently meets the highest standards of data integrity and security. Extensive experience with Agile development methodologies, including Scrum or Kanban, and tools such as Jira and Confluence to manage product development cycles effectively. Nice to Have Historical experience in the Quick Service or Fast Casual restaurant segments. Knowledge of cloud services and infrastructure (AWS, Azure, Google Cloud) with an emphasis on serverless architectures, database management, and optimizing for performance and cost. Exposure to artificial intelligence and machine learning technologies, especially in the context of predictive analytics, customer behavior analysis, or operational optimization. Understanding of IoT technologies and how they can be leveraged in the restaurant industry for smart kitchen management, inventory tracking, and enhancing the customer dining experience. Familiarity with DevOps principles and tools (e.g., CI/CD pipelines, monitoring, and logging tools) to ensure rapid, reliable deployment of updates and new features. Join us at Welcome Technology Corporation, where your expertise in product management and technical prowess will contribute to redefining the restaurant industry through innovative technology. Together, we will build a future where restaurants thrive through enhanced efficiency, insight, and customer satisfaction The content on this website, including but not limited to text, graphics, logos, images, software, and documentation, is the property of Welcome Technology Corporation ("Welcome") and is protected by copyright and other intellectual property laws. No part of this website or its content may be reproduced, copied, modified, distributed, transmitted, displayed, published, or sold in any form or by any means, in whole or in part, without the prior written permission of Welcome Technology Corporation. WelcomeOS and the Welcome logo are trademarks of Welcome Technology Corporation. Other company, product, and service names mentioned herein may be trademarks or service marks of their respective owners. Use of this website constitutes acceptance of our terms of use and privacy policy. Welcome Technology Corporation reserves the right to change these terms and policies at any time without notice.
Apr 25, 2024
Full time
We're seeking a TPM with a strong foundation in point of sale, payment processing technologies, cloud infrastructure, and agile methodologies to support the innovation and technical excellence of the WelcomeOS product. Product London, UK (Remote) Company Introduction Welcome Technology Corporation is introducing WelcomeOS, designed to directly address the longstanding challenges facing the restaurant industry, including hidden fees, complex tech stacks, and cumbersome digital integration processes. Founded in 2023 by Shane (Co-Founder & CEO) and Tom (Co-Founder & CTO), who bring a combined legacy of innovation and leadership from both startup environments and multinational companies, WelcomeOS is set to streamline restaurant operations in NYC and beyond. Supported by some of New York's most influential real estate investors, leading restaurant groups, and notable brands, WelcomeOS is positioned as a practical, impactful tool for the industry. Our goal is to enable restaurants to enhance their service, manage their margins more effectively, and integrate essential digital services seamlessly. Our platform is built on the principle of transparency, aiming to significantly reduce processing fees and simplify the technology needed for restaurants to operate efficiently and grow. With a globally distributed engineering team and technology leadership in London, WelcomeOS leverages global talent to deliver a robust solution tailored to the specific needs of restaurant groups. In essence, Welcome Technology Corporation and WelcomeOS represent a commitment to improving the operational landscape for restaurants through technology that's accessible, straightforward, and effective. We're here to offer an alternative that's ready to meet the industry's current and future challenges head-on. Role Summary & Purpose Welcome is seeking a proactive and insightful Technical Product Manager (TPM) to spearhead the evolution of WelcomeOS by identifying customer needs and translating them into robust technical requirements. The ideal candidate will possess a deep understanding of both the restaurant industry and technological trends, enabling them to guide our development, architecture, quality assurance, and operations teams effectively. This role demands a strategic thinker who can assess emerging technologies and market shifts to ensure WelcomeOS remains at the forefront of innovation. As a key figure in the expansion of WelcomeOS, you will play a crucial role in defining the future of restaurant management technology. This position offers a unique opportunity to make a tangible impact on the industry while paving the path for professional growth and leadership within a nimble, dynamic and forward-thinking team. Role Responsibilities Collaborate with cross-functional teams to align on product strategy and understand business and customer needs. Translate customer insights into detailed technical requirements for development teams. Stay ahead of industry trends and evaluate new technologies for potential integration into WelcomeOS. Conduct competitive analysis to ensure our offerings remain competitive. Deliver training sessions for both internal teams and customers on WelcomeOS functionalities. Address technical queries and support issues, ensuring a high level of product knowledge and customer satisfaction. Oversee technical risk assessments and mitigation strategies. Analyze data to inform product decisions and measure success. Spearhead product documentation, beta testing, and feedback collection processes. Manage multiple projects simultaneously, prioritising effectively to meet deadlines and achieve objectives. Minimum of 5 years in technical product management, with a proven track record of successful product launches and growth. Familiarity with the restaurant industry and its technological needs. Demonstrated experience in managing products that integrate complex technologies, including but not limited to payment processing solutions like FreedomPay, and understanding the technical nuances of PCI compliance standards. Solid grasp of system architecture principles, especially as they relate to cloud-based solutions and microservices architectures, ensuring scalability and security of payment processing and operational functionalities. Proficiency in utilizing advanced analytics and data visualization tools (e.g., Tableau, Google Analytics) to drive product strategy and user experience improvements. Experience with SQL or similar databases for data querying and analysis. In-depth knowledge of cybersecurity best practices, data protection regulations (e.g., GDPR in Europe), and ensuring the product consistently meets the highest standards of data integrity and security. Extensive experience with Agile development methodologies, including Scrum or Kanban, and tools such as Jira and Confluence to manage product development cycles effectively. Nice to Have Historical experience in the Quick Service or Fast Casual restaurant segments. Knowledge of cloud services and infrastructure (AWS, Azure, Google Cloud) with an emphasis on serverless architectures, database management, and optimizing for performance and cost. Exposure to artificial intelligence and machine learning technologies, especially in the context of predictive analytics, customer behavior analysis, or operational optimization. Understanding of IoT technologies and how they can be leveraged in the restaurant industry for smart kitchen management, inventory tracking, and enhancing the customer dining experience. Familiarity with DevOps principles and tools (e.g., CI/CD pipelines, monitoring, and logging tools) to ensure rapid, reliable deployment of updates and new features. Join us at Welcome Technology Corporation, where your expertise in product management and technical prowess will contribute to redefining the restaurant industry through innovative technology. Together, we will build a future where restaurants thrive through enhanced efficiency, insight, and customer satisfaction The content on this website, including but not limited to text, graphics, logos, images, software, and documentation, is the property of Welcome Technology Corporation ("Welcome") and is protected by copyright and other intellectual property laws. No part of this website or its content may be reproduced, copied, modified, distributed, transmitted, displayed, published, or sold in any form or by any means, in whole or in part, without the prior written permission of Welcome Technology Corporation. WelcomeOS and the Welcome logo are trademarks of Welcome Technology Corporation. Other company, product, and service names mentioned herein may be trademarks or service marks of their respective owners. Use of this website constitutes acceptance of our terms of use and privacy policy. Welcome Technology Corporation reserves the right to change these terms and policies at any time without notice.
We strongly encourage applications from people of color, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. About Cleo Most people come to Cleo to do work that matters. Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being. Backed by some of the most well-known investors in tech, we've reached millions of people to support them throughout their financial lives, from their first paycheck to their first home and beyond. We're hitting headlines too. This year, Forbes named us as one of their Next Billion Dollar Startups, and we were crowned the 'Hottest Tech Scaleup' at the Europas. Follow us on LinkedIn to keep up to date with new product features and insights from the team. The Role This role contract role - you'll be a key member of our Machine Learning and Chat pillar, responsible for Cleo's ability to have meaningful and delightful conversations with our users. This product area will be central to our vision of empowering people to make smarter financial decisions. You will: Lead three critical Machine Learning Product teams focusing on the following but not limited to Platform Development, Coach/Insights Generation, Experience & Onboarding, and the future capabilities of this product area Hire, build, develop, and lead a high performing product management team. Lead and mentor a talented team of Lead Product Managers, fostering their career growth and strategic leadership skills. Work closely with your partners in product, engineering, design, user research, and data to ensure Cleo is delivering to business and users' needs. Consistently deliver impactful initiatives that deliver customer value and business results. We are looking for someone who has: Creativity in solving complex problems and a vision for the future of AI in personal finance. Experience in managing product managers and a history of building new products (0 1) as well as a track record of shipping continuous product improvements, ideally for a consumer-facing mobile app. Energy and drive to ensure that your product is successful and has an impact. People would describe you as a force of nature who cares about their team. Previous experience related to leading multiple product teams in the context of using machine learning (ML) and generative AI to solve customer problems. How Long Will the Process Take? We aim to move as fast as possible. Usually, 1-2 weeks is enough time for us all to get to know each other. UK App access: The Cleo app is no longer downloadable in the UK. If you're an existing user, you'll still have access to the app. But some features won't be available. Why? 99% of our users are based in the US - where financial health is often overlooked. We've decided to shift our focus to where we can provide the most value and make the greatest impact for users who need it most. Then we'll be able to apply what we learn to better support our UK users in the future.
Apr 24, 2024
Full time
We strongly encourage applications from people of color, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. About Cleo Most people come to Cleo to do work that matters. Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being. Backed by some of the most well-known investors in tech, we've reached millions of people to support them throughout their financial lives, from their first paycheck to their first home and beyond. We're hitting headlines too. This year, Forbes named us as one of their Next Billion Dollar Startups, and we were crowned the 'Hottest Tech Scaleup' at the Europas. Follow us on LinkedIn to keep up to date with new product features and insights from the team. The Role This role contract role - you'll be a key member of our Machine Learning and Chat pillar, responsible for Cleo's ability to have meaningful and delightful conversations with our users. This product area will be central to our vision of empowering people to make smarter financial decisions. You will: Lead three critical Machine Learning Product teams focusing on the following but not limited to Platform Development, Coach/Insights Generation, Experience & Onboarding, and the future capabilities of this product area Hire, build, develop, and lead a high performing product management team. Lead and mentor a talented team of Lead Product Managers, fostering their career growth and strategic leadership skills. Work closely with your partners in product, engineering, design, user research, and data to ensure Cleo is delivering to business and users' needs. Consistently deliver impactful initiatives that deliver customer value and business results. We are looking for someone who has: Creativity in solving complex problems and a vision for the future of AI in personal finance. Experience in managing product managers and a history of building new products (0 1) as well as a track record of shipping continuous product improvements, ideally for a consumer-facing mobile app. Energy and drive to ensure that your product is successful and has an impact. People would describe you as a force of nature who cares about their team. Previous experience related to leading multiple product teams in the context of using machine learning (ML) and generative AI to solve customer problems. How Long Will the Process Take? We aim to move as fast as possible. Usually, 1-2 weeks is enough time for us all to get to know each other. UK App access: The Cleo app is no longer downloadable in the UK. If you're an existing user, you'll still have access to the app. But some features won't be available. Why? 99% of our users are based in the US - where financial health is often overlooked. We've decided to shift our focus to where we can provide the most value and make the greatest impact for users who need it most. Then we'll be able to apply what we learn to better support our UK users in the future.
SThree is delighted to announce that we are currently accepting applications for an experienced AI Engineer. This position presents an excellent opportunity to join a global audience of stakeholders. Additionally, it offers the potential for growth within an international company. As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be key. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. What are the day-to-day tasks? Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organisation's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data Lake Develop robust testing and validation processes to ensure the accuracy and reliability of AI models. Ensure that operational issues are identified, recorded, monitored and resolved. Conducts investigations of significant operational outage and provides recommendations for problem mitigation. Provides appropriate status and other reports to specialists, users and managers. Align all operations procedures to service expectations, security requirements and other quality standards. Ensures that operational procedures are fit for purpose and updated. Oversee the planning, installation, maintenance and acceptance of new and updated components and services. Defines security procedures to be followed, and delegates tasks What skills and knowledge are we looking for? Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirable Solid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes), implementing MLOps practices using Azure DevOps. Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications. Qualifications: Degree in computer science/software engineering and/or 5+ years equivalent work experience within a cloud environment. Cloud Certifications desirable Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate Benefits for our U.K. teams include: Choice to work flexibly from home and the office, in line with our hybrid working principles Bonus linked to company and personal performance Generous 28 days holiday, plus public holidays Annual leave purchase scheme Five days paid Caregiver/Dependant leave per annum Five paid days off per year for volunteering Private healthcare, discounted dental insurance and health care cashback scheme Opportunity to participate in the company share scheme Access to a range of retail discounts and saving What we stand for We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help. What we stand for We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.
Apr 24, 2024
Full time
SThree is delighted to announce that we are currently accepting applications for an experienced AI Engineer. This position presents an excellent opportunity to join a global audience of stakeholders. Additionally, it offers the potential for growth within an international company. As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be key. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. What are the day-to-day tasks? Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organisation's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data Lake Develop robust testing and validation processes to ensure the accuracy and reliability of AI models. Ensure that operational issues are identified, recorded, monitored and resolved. Conducts investigations of significant operational outage and provides recommendations for problem mitigation. Provides appropriate status and other reports to specialists, users and managers. Align all operations procedures to service expectations, security requirements and other quality standards. Ensures that operational procedures are fit for purpose and updated. Oversee the planning, installation, maintenance and acceptance of new and updated components and services. Defines security procedures to be followed, and delegates tasks What skills and knowledge are we looking for? Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirable Solid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes), implementing MLOps practices using Azure DevOps. Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications. Qualifications: Degree in computer science/software engineering and/or 5+ years equivalent work experience within a cloud environment. Cloud Certifications desirable Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate Benefits for our U.K. teams include: Choice to work flexibly from home and the office, in line with our hybrid working principles Bonus linked to company and personal performance Generous 28 days holiday, plus public holidays Annual leave purchase scheme Five days paid Caregiver/Dependant leave per annum Five paid days off per year for volunteering Private healthcare, discounted dental insurance and health care cashback scheme Opportunity to participate in the company share scheme Access to a range of retail discounts and saving What we stand for We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help. What we stand for We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.
Job Title: Quantitative Python Developer Location: City of London Client:Multi-Strategy Investment Manager Package: £200,000 OTE About the Client: Our client is a prestigious multi-strategy investment manager committed to pushing the boundaries of quantitative finance. With a focus on innovation and excellence, they are dedicated to delivering superior results for their clients. They offer a dynamic and collaborative work environment where talented professionals can thrive and make a significant impact. Position Overview: Our client is seeking a skilled Quantitative Python Developer to join their team. The ideal candidate will have 3 to 5 years of experience as a Junior Quantitative Developer, with a strong foundation in Python programming within the quantitative finance domain. Candidates should have a proven track record of working on quant systems and possess a deep understanding of quantitative methodologies. Responsibilities: - Collaborate with quantitative researchers and traders to develop and implement advanced trading strategies and models.- Utilise Python to build and maintain robust and efficient quant systems, including data processing pipelines, risk management tools, and algorithmic trading platforms.- Conduct quantitative analysis and research to support the development and enhancement of trading algorithms.- Optimise and streamline quantitative processes to improve efficiency and accuracy.- Work closely with cross-functional teams to integrate quantitative models into trading systems. Requirements: - Bachelor's, Master's, or PhD degree in Mathematics, Computer Science, Physics, Engineering, or a related field from a Russel Group university.- 3 to 5 years of experience as a Junior Quantitative Developer in the financial industry.- Proficiency in Python programming language with a focus on quantitative finance applications.- Strong understanding of mathematical and statistical concepts relevant to quantitative finance, such as stochastic calculus, probability theory, and time series analysis.- Experience working on quant systems and familiarity with quantitative libraries and frameworks.- Excellent problem-solving skills and attention to detail.- Effective communication skills and ability to collaborate in a team environment. Preferred Qualifications: - Knowledge of other programming languages such as Java, C++, or R.- Familiarity with financial markets, trading instruments, and risk management principles.- Experience with data analysis tools and techniques, such as pandas, NumPy, or SciPy.- Previous exposure to machine learning and AI techniques in a financial context. Benefits: - Competitive salary and performance-based bonuses.- Comprehensive health, dental, and vision insurance plans.- Generous holiday and leave policies.- Retirement savings plan with employer contributions.- Opportunities for professional development and further education. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Apr 24, 2024
Full time
Job Title: Quantitative Python Developer Location: City of London Client:Multi-Strategy Investment Manager Package: £200,000 OTE About the Client: Our client is a prestigious multi-strategy investment manager committed to pushing the boundaries of quantitative finance. With a focus on innovation and excellence, they are dedicated to delivering superior results for their clients. They offer a dynamic and collaborative work environment where talented professionals can thrive and make a significant impact. Position Overview: Our client is seeking a skilled Quantitative Python Developer to join their team. The ideal candidate will have 3 to 5 years of experience as a Junior Quantitative Developer, with a strong foundation in Python programming within the quantitative finance domain. Candidates should have a proven track record of working on quant systems and possess a deep understanding of quantitative methodologies. Responsibilities: - Collaborate with quantitative researchers and traders to develop and implement advanced trading strategies and models.- Utilise Python to build and maintain robust and efficient quant systems, including data processing pipelines, risk management tools, and algorithmic trading platforms.- Conduct quantitative analysis and research to support the development and enhancement of trading algorithms.- Optimise and streamline quantitative processes to improve efficiency and accuracy.- Work closely with cross-functional teams to integrate quantitative models into trading systems. Requirements: - Bachelor's, Master's, or PhD degree in Mathematics, Computer Science, Physics, Engineering, or a related field from a Russel Group university.- 3 to 5 years of experience as a Junior Quantitative Developer in the financial industry.- Proficiency in Python programming language with a focus on quantitative finance applications.- Strong understanding of mathematical and statistical concepts relevant to quantitative finance, such as stochastic calculus, probability theory, and time series analysis.- Experience working on quant systems and familiarity with quantitative libraries and frameworks.- Excellent problem-solving skills and attention to detail.- Effective communication skills and ability to collaborate in a team environment. Preferred Qualifications: - Knowledge of other programming languages such as Java, C++, or R.- Familiarity with financial markets, trading instruments, and risk management principles.- Experience with data analysis tools and techniques, such as pandas, NumPy, or SciPy.- Previous exposure to machine learning and AI techniques in a financial context. Benefits: - Competitive salary and performance-based bonuses.- Comprehensive health, dental, and vision insurance plans.- Generous holiday and leave policies.- Retirement savings plan with employer contributions.- Opportunities for professional development and further education. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
LILT is the leading AI solution for enterprise translations. Our stack made up of our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback enables global organizations to adopt a true AI translation strategy, focusing on business outcomes instead of outputs. With LILT, innovative, category-defining organizations like Intel, ASICS, WalkMe, and Canva are using AI technology to deliver multilingual, digital customer experiences at scale. While our core AI technology might share similarities with ChatGPT and Google Translate, it's what we do with it that makes LILT truly revolutionary. Our patented Contextual AI Engine goes beyond basic translations, understanding the nuance of our customer's content and target audience to deliver hyper-accurate, business-focused results. Our connector-first approach seamlessly integrates with our customer's existing workflows, and our human-adapted feedback loop ensures continuous improvement, making LILT a constantly evolving AI partner for your global ambitions. Get the best of both worlds at LILT! Dive into dynamic in-office energy 2 days a week, sparking creativity and forging bonds with your awesome team. Then, seamlessly shift gears and crush your to-do list from the comfort of your home base for the rest of the week. It's the perfect harmony of productivity and personal freedom. Want a peek inside? Visit our Careers page ! Authorization to work in the UK is a precondition of employment. The Solutions Team at LILT LILT's Solutions team focuses on our industry AI leading technology and its application to multilingual content requirements for large enterprises as well as government agencies. Our team engages with customers from the pre-sales/prospect stages through post-sale/customer onboarding stages and is made up of experts in various functional and technical areas of LILT's overall offering. While we work in various locations, we are highly collaborative within the team and have tight interactions with our colleagues in the LILT Sales, Product, Engineering and Services teams. Additionally, we operate as critical members of account-based teams that ensure LILT's technology is utilized to deliver maximum value to our customers. While we're at it, we have fun and enjoy the ride together. What you'll do We're looking for an experienced AI Architect who loves solving hard problems, managing complex projects, and interacting with a variety of stakeholders. This position is for someone who has strong technical aptitude, extensive customer-facing experience, and the ability to manage multiple complex projects at once. You will work hand-in-hand with Sales, Product, Engineering, Services, and Marketing teams to bring our platform to clients and prospects. You will be responsible for providing the technical expertise to make LILT customers successful. You will have a broad range of skills and experience ranging from global content management lifecycle, a working knowledge of NLP/MT, TM, glossary, and content pipelines and integrations. You will have the insight to make the connection between a customer's specific business problems and LILT's solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation. This position is based out of our London, UK office and will be expected to work in the office in a hybrid capacity. Key Responsibilities Serve as the technical co-pilot to LILT Account Executives and Account Managers, managing the customer's technical experience from scoping (pre-sales) to deployment (post-sales / success) Build and present references architectures, how-tos, and demo applications for customers Be a subject-matter expert in translation and localization process optimization and best practices Understand and align customer's technology stack to optimize localization processes Work closely with Engineering, Product, and Account Management teams to ensure smooth prospect-to-customer transitions and long-term customer success Play an active role in the development and maintenance of client-integrations Provide an escalated level of support for critical customer operational issues Develop and iterate on internal processes to ensure consistency across our solutions engagements Track existing technology solutions and follow the latest trends and developments in the localization industry Skills and Experience At least 4+ years of experience in a technical pre/post-sales role at a language services, language technology, or content management company Experience working with a complex services-oriented solution Proven ability to communicate, present, and influence credibly and effectively at all levels of the organization, including executive and C-level. Subject matter expertise in localization solutions, technologies, and processes Technical background in computational linguistics or related field with experience in AI, LLM, NLP, or computed-assisted translation (CAT) solutions A passion for technical and solution-based problem solving Analytical approach to intelligence gathering and project planning Outstanding verbal and written communication skills; ability to interact easily with end users and C-level executives Keen attention to detail and adherence to deadlines Strong desire to learn in a rapidly growing and dynamic pre-IPO growth environment Self-motivated and inspired by a results-driven environment Confidence communicating technical ideas to various audiences, primarily through presentations, white-boarding, and platform demonstrations Comfort with a bit of chaos, startup experience is an advantage Ability to work independently and self sufficiently while being part of a team and pursuing team goals Our Story Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. They were amazed to learn that Google Translate wasn't used for enterprise products and services inside the company and left to start a new company to address this need - LILT. At its core, LILT has always been a machine learning company since its incorporation on March 6, 2015. At the time, machine translation didn't meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, believing that this foundation was imperative to the future of enterprise translation. Benefits Compensation: At market salary, meaningful equity, 401(k) matching, and flexible time off plus company holidays Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, plus FSA/DFSA, HSA, and Commuter benefits. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability Paid parental leave is provided after 6 months. Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual's race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Apr 24, 2024
Full time
LILT is the leading AI solution for enterprise translations. Our stack made up of our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback enables global organizations to adopt a true AI translation strategy, focusing on business outcomes instead of outputs. With LILT, innovative, category-defining organizations like Intel, ASICS, WalkMe, and Canva are using AI technology to deliver multilingual, digital customer experiences at scale. While our core AI technology might share similarities with ChatGPT and Google Translate, it's what we do with it that makes LILT truly revolutionary. Our patented Contextual AI Engine goes beyond basic translations, understanding the nuance of our customer's content and target audience to deliver hyper-accurate, business-focused results. Our connector-first approach seamlessly integrates with our customer's existing workflows, and our human-adapted feedback loop ensures continuous improvement, making LILT a constantly evolving AI partner for your global ambitions. Get the best of both worlds at LILT! Dive into dynamic in-office energy 2 days a week, sparking creativity and forging bonds with your awesome team. Then, seamlessly shift gears and crush your to-do list from the comfort of your home base for the rest of the week. It's the perfect harmony of productivity and personal freedom. Want a peek inside? Visit our Careers page ! Authorization to work in the UK is a precondition of employment. The Solutions Team at LILT LILT's Solutions team focuses on our industry AI leading technology and its application to multilingual content requirements for large enterprises as well as government agencies. Our team engages with customers from the pre-sales/prospect stages through post-sale/customer onboarding stages and is made up of experts in various functional and technical areas of LILT's overall offering. While we work in various locations, we are highly collaborative within the team and have tight interactions with our colleagues in the LILT Sales, Product, Engineering and Services teams. Additionally, we operate as critical members of account-based teams that ensure LILT's technology is utilized to deliver maximum value to our customers. While we're at it, we have fun and enjoy the ride together. What you'll do We're looking for an experienced AI Architect who loves solving hard problems, managing complex projects, and interacting with a variety of stakeholders. This position is for someone who has strong technical aptitude, extensive customer-facing experience, and the ability to manage multiple complex projects at once. You will work hand-in-hand with Sales, Product, Engineering, Services, and Marketing teams to bring our platform to clients and prospects. You will be responsible for providing the technical expertise to make LILT customers successful. You will have a broad range of skills and experience ranging from global content management lifecycle, a working knowledge of NLP/MT, TM, glossary, and content pipelines and integrations. You will have the insight to make the connection between a customer's specific business problems and LILT's solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation. This position is based out of our London, UK office and will be expected to work in the office in a hybrid capacity. Key Responsibilities Serve as the technical co-pilot to LILT Account Executives and Account Managers, managing the customer's technical experience from scoping (pre-sales) to deployment (post-sales / success) Build and present references architectures, how-tos, and demo applications for customers Be a subject-matter expert in translation and localization process optimization and best practices Understand and align customer's technology stack to optimize localization processes Work closely with Engineering, Product, and Account Management teams to ensure smooth prospect-to-customer transitions and long-term customer success Play an active role in the development and maintenance of client-integrations Provide an escalated level of support for critical customer operational issues Develop and iterate on internal processes to ensure consistency across our solutions engagements Track existing technology solutions and follow the latest trends and developments in the localization industry Skills and Experience At least 4+ years of experience in a technical pre/post-sales role at a language services, language technology, or content management company Experience working with a complex services-oriented solution Proven ability to communicate, present, and influence credibly and effectively at all levels of the organization, including executive and C-level. Subject matter expertise in localization solutions, technologies, and processes Technical background in computational linguistics or related field with experience in AI, LLM, NLP, or computed-assisted translation (CAT) solutions A passion for technical and solution-based problem solving Analytical approach to intelligence gathering and project planning Outstanding verbal and written communication skills; ability to interact easily with end users and C-level executives Keen attention to detail and adherence to deadlines Strong desire to learn in a rapidly growing and dynamic pre-IPO growth environment Self-motivated and inspired by a results-driven environment Confidence communicating technical ideas to various audiences, primarily through presentations, white-boarding, and platform demonstrations Comfort with a bit of chaos, startup experience is an advantage Ability to work independently and self sufficiently while being part of a team and pursuing team goals Our Story Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. They were amazed to learn that Google Translate wasn't used for enterprise products and services inside the company and left to start a new company to address this need - LILT. At its core, LILT has always been a machine learning company since its incorporation on March 6, 2015. At the time, machine translation didn't meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, believing that this foundation was imperative to the future of enterprise translation. Benefits Compensation: At market salary, meaningful equity, 401(k) matching, and flexible time off plus company holidays Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, plus FSA/DFSA, HSA, and Commuter benefits. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability Paid parental leave is provided after 6 months. Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual's race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
We strongly encourage applications from people of color, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. About Cleo Most people come to Cleo to do work that matters. Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being. Backed by some of the most well-known investors in tech, we've reached millions of people to support them throughout their financial lives, from their first paycheck to their first home and beyond. We're hitting headlines too. This year, Forbes named us as one of their Next Billion Dollar Startups, and we were crowned the 'Hottest Tech Scaleup' at the Europas. Follow us on LinkedIn to keep up to date with new product features and insights from the team. The Role You'll be a key member of our Machine Learning and Chat pillar, responsible for Cleo's ability to have meaningful and delightful conversations with our users. This product area will be central to our vision of empowering people to make smarter financial decisions. You will: Own the vision and long term strategy for our ML/Chat Product pillar Lead three critical Machine Learning Product teams focusing on the following but not limited to Platform Development, Coach/Insights Generation, Experience & Onboarding, and the future capabilities of this product area Hire, build, develop, and lead a high performing product management team. Lead and mentor a talented team of Lead Product Managers, fostering their career growth and strategic leadership skills. Work closely with your partners in product, engineering, design, user research, and data to ensure Cleo is delivering to business and users' needs. Consistently deliver impactful initiatives that deliver customer value and business results. We are looking for someone who has: Creativity in solving complex problems and a vision for the future of AI in personal finance. Experience in managing product managers and a history of building new products (0 1) as well as a track record of shipping continuous product improvements, ideally for a consumer-facing mobile app. Energy and drive to ensure that your product is successful and has an impact. People would describe you as a force of nature who cares about their team. Previous experience related to leading multiple product teams in the context of using machine learning (ML) and generative AI to solve customer problems. Why Should I Apply? We have a clear Product Manager career growth framework so you'll understand from day 1 how to develop your career and improve your skills at Cleo. You'll be joining an open and collaborative team where you'll be heard and get to make a difference. You'll have the opportunity to help shape our product practices and culture. How Long Will the Process Take? We aim to move as fast as possible. Usually, 2-3 weeks is enough time for us all to get to know each other. What Do You Get for All Your Hard Work? A competitive compensation package (base + equity). This role is PM5 level. You can view our public progression framework and salary bandings here Other benefits include: Generous pay increases for high-performers and high-growth team members Equity top-ups for team members getting promoted 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo) Check out our new benefits package here: 6% employer-matched pension in the UK Company-wide performance reviews every 8 months e.g every 2 terms, in line with our termly cycles (Jan-April, May-Aug, Sept-Dec): Private Medical Insurance via Vitality, dental cover, and life assurance Enhanced parental leave Access to Learnerbly, Reforge, and other L&D portals 1 month paid sabbatical after 4 years at Cleo Regular socials and activities, online and in-person We'll pay for your OpenAI subscription Online mental health support via Spill And many more! UK App access: The Cleo app is no longer downloadable in the UK. If you're an existing user, you'll still have access to the app. But some features won't be available. Why? 99% of our users are based in the US - where financial health is often overlooked. We've decided to shift our focus to where we can provide the most value and make the greatest impact for users who need it most. Then we'll be able to apply what we learn to better support our UK users in the future.
Apr 23, 2024
Full time
We strongly encourage applications from people of color, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. About Cleo Most people come to Cleo to do work that matters. Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being. Backed by some of the most well-known investors in tech, we've reached millions of people to support them throughout their financial lives, from their first paycheck to their first home and beyond. We're hitting headlines too. This year, Forbes named us as one of their Next Billion Dollar Startups, and we were crowned the 'Hottest Tech Scaleup' at the Europas. Follow us on LinkedIn to keep up to date with new product features and insights from the team. The Role You'll be a key member of our Machine Learning and Chat pillar, responsible for Cleo's ability to have meaningful and delightful conversations with our users. This product area will be central to our vision of empowering people to make smarter financial decisions. You will: Own the vision and long term strategy for our ML/Chat Product pillar Lead three critical Machine Learning Product teams focusing on the following but not limited to Platform Development, Coach/Insights Generation, Experience & Onboarding, and the future capabilities of this product area Hire, build, develop, and lead a high performing product management team. Lead and mentor a talented team of Lead Product Managers, fostering their career growth and strategic leadership skills. Work closely with your partners in product, engineering, design, user research, and data to ensure Cleo is delivering to business and users' needs. Consistently deliver impactful initiatives that deliver customer value and business results. We are looking for someone who has: Creativity in solving complex problems and a vision for the future of AI in personal finance. Experience in managing product managers and a history of building new products (0 1) as well as a track record of shipping continuous product improvements, ideally for a consumer-facing mobile app. Energy and drive to ensure that your product is successful and has an impact. People would describe you as a force of nature who cares about their team. Previous experience related to leading multiple product teams in the context of using machine learning (ML) and generative AI to solve customer problems. Why Should I Apply? We have a clear Product Manager career growth framework so you'll understand from day 1 how to develop your career and improve your skills at Cleo. You'll be joining an open and collaborative team where you'll be heard and get to make a difference. You'll have the opportunity to help shape our product practices and culture. How Long Will the Process Take? We aim to move as fast as possible. Usually, 2-3 weeks is enough time for us all to get to know each other. What Do You Get for All Your Hard Work? A competitive compensation package (base + equity). This role is PM5 level. You can view our public progression framework and salary bandings here Other benefits include: Generous pay increases for high-performers and high-growth team members Equity top-ups for team members getting promoted 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo) Check out our new benefits package here: 6% employer-matched pension in the UK Company-wide performance reviews every 8 months e.g every 2 terms, in line with our termly cycles (Jan-April, May-Aug, Sept-Dec): Private Medical Insurance via Vitality, dental cover, and life assurance Enhanced parental leave Access to Learnerbly, Reforge, and other L&D portals 1 month paid sabbatical after 4 years at Cleo Regular socials and activities, online and in-person We'll pay for your OpenAI subscription Online mental health support via Spill And many more! UK App access: The Cleo app is no longer downloadable in the UK. If you're an existing user, you'll still have access to the app. But some features won't be available. Why? 99% of our users are based in the US - where financial health is often overlooked. We've decided to shift our focus to where we can provide the most value and make the greatest impact for users who need it most. Then we'll be able to apply what we learn to better support our UK users in the future.