דרושים Sr Manager Staff Product Designer - Enterprise Data Hybrid ב-Capital One ב-United States, California, San Francisco

Senior Manager, Product Manager, Generative AI Tooling

As a Sr. Manager, Product Manager on the Gen AI SDK Experiences product team, you will be the voice of the customer, identifying opportunities for reuse, standardization, and innovation. You’ll collaborate with a cross-functional team to define requirements and deliver high value solutions to the enterprise. The ideal candidate for this role is passionate about technology and deeply empathizes with customer needs. They are comfortable in conversation with stakeholders ranging from technical customers to senior leadership.

Specific responsibilities include, but are not limited to:

• Develop and communicate the product vision for the Gen AI platform and user experience.

• Work closely with partner teams to define requirements and measures of success.

• Prioritize the product backlog to maximize business and customer outcomes.

• Incorporate design thinking and analytics to inform product design.

• Enable collaboration and ensure communication between teams.

• Maintain a healthy backlog of work and play a critical role in many agile ceremonies.

• Support the team with escalation and resolution of impediments.

• Serve as the connection between customers, partners, Capital One’s mission, and your team

In this role, you’ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management:

• Human Centered- Obsesses about internal and external customer needs to reimagine and innovate product solutions

• Business Focused -Delivers game-changing outcomes by focusing on leverage and execution excellence

• Technology Driven -Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value

• Integrated Problem Solving- Identifies and resolves complex problems to deliver outcomes while mitigating product risks

• Transformational Leadership -

Basic Qualifications:

• At least 5 years of experience working in Product Management

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)

  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Preferred Qualifications:

• Experience translating business strategy and analysis into consumer facing digital products

Cambridge, MA: $193,000 - $220,300 for Sr. Mgr, Product Management Chicago, IL: $175,500 - $200,300 for Sr. Mgr, Product Management McLean, VA: $193,000 - $220,300 for Sr. Mgr, Product Management New York, NY: $210,500 - $240,300 for Sr. Mgr, Product Management Richmond, VA: $175,500 - $200,300 for Sr. Mgr, Product Management San Francisco, CA: $210,500 - $240,300 for Sr. Mgr, Product Management San Jose, CA: $210,500 - $240,300 for Sr. Mgr, Product ManagementThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Sr Manager- AI Engineering (GenAI Platform Services)

:

In this role, you will:

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

• Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.

• Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.

• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.

• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

• Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI.

The Ideal Candidate:

• You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.

• Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.

• You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example.

• You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.

• You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.

• You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.

Basic Qualifications:

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies

• At least 1 year of people leadership experience

Preferred Qualifications:

• 3 years of experience managing and leading an engineering team

• 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)

• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang

• Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production

• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

Cambridge, MA: $225,400 - $257,200 for Sr. Mgr, AI Engineering McLean, VA: $225,400 - $257,200 for Sr. Mgr, AI Engineering New York, NY: $245,900 - $280,600 for Sr. Mgr, AI Engineering San Francisco, CA: $245,900 - $280,600 for Sr. Mgr, AI Engineering San Jose, CA: $245,900 - $280,600 for Sr. Mgr, AI EngineeringThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Senior Manager, Product Manager, GenAI Platform Services

As a Sr. Manager, Product Manager on the Gen AI Platform product team, you will be the voice of the customer, identifying opportunities for reuse, standardization, and innovation. You’ll collaborate with a cross-functional team to define requirements and deliver high value solutions to the enterprise. The ideal candidate for this role is passionate about technology and deeply empathizes with customer needs. They are comfortable in conversation with stakeholders ranging from technical customers to senior leadership.

In this role, you’ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management:

• Human Centered- Obsesses about internal and external customer needs to reimagine and innovate product solutions

• Business Focused -Delivers game-changing outcomes by focusing on leverage and execution excellence

• Technology Driven -Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value

• Integrated Problem Solving- Identifies and resolves complex problems to deliver outcomes while mitigating product risks

• Transformational Leadership -

Basic Qualifications:

• At least 5 years of experience working in Product Management

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)

  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Preferred Qualifications:

• Experience translating business strategy and analysis into consumer facing digital products

Cambridge, MA: $193,000 - $220,300 for Sr. Mgr, Product Management Chicago, IL: $175,500 - $200,300 for Sr. Mgr, Product Management McLean, VA: $193,000 - $220,300 for Sr. Mgr, Product Management New York, NY: $210,500 - $240,300 for Sr. Mgr, Product Management Richmond, VA: $175,500 - $200,300 for Sr. Mgr, Product Management San Francisco, CA: $210,500 - $240,300 for Sr. Mgr, Product ManagementThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Senior Manager, Data Science - GenAI Digital Assistant

Team Description:

The GenAI Powered Digital Assistant Team in AI Foundations engage in active research in GenAI powered conversational capabilities and build scalable futuristics solutions to enhance our customers digital experience and real time support through digital assistance. You will be the driving force to lead research, innovate and develop applications with emerging AI/ML technologies. Our areas of research include advanced LLM powered digital Assistant, multi-agentic workflow, domain specific conversational large language model tuning and inference optimization.

In this role, you will:

• Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how developers write software.

• Lead cutting-edge research and development in Generative AI (GenAI) to enhance conversational AI capabilities and build scalable, futuristic digital assistant solutions.

• Fine-tune advanced Large Language Models (LLMs) for domain-specific conversational applications, inference optimization, and multi-agentic workflows.

• Leverage a broad stack of technologies — Python, AWS, Pyspark, LangChain, LangGraph, HuggingFace Transformers, vLLM and VectorDBs, and more

• Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features.

• Drive innovation by designing, training, evaluating, and deploying state-of-the-art NLP models, partnering with engineering teams to integrate them into scalable and resilient production systems.

• Translate complex AI/ML research into tangible business outcomes, improving customer experience through real-time, intelligent digital assistance.

The Ideal Candidate is:

• Innovative. You are deeply engaged in AI/ML research and stay ahead of the curve on emerging GenAI advancements. You seek out opportunities to apply state-of-the-art methods to real-world problems..

• Creative. You excel at defining and solving complex, ambiguous problems, constantly questioning and pushing boundaries to develop novel solutions

• A leader. You challenge conventional thinking, drive breakthroughs in conversational AI, and mentor teams to achieve innovation excellence

• Technical. You have hands-on experience in AI/ML development, working with open-source tools, cloud computing platforms, and DevOps technologies. You are proficient in NLP and LLM tuning.

• Influential. You are passionate about GenAI and can bring together cross-functional teams to drive adoption and innovation. You communicate complex ideas clearly to technical and non-technical audiences.

Basic Qualifications:

• Currently has, or is in the process of obtainingone of the followingwith an expectation that the required degree will be obtained on or before the scheduled start date:

  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics

  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics

  • A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics

• At least 2 years of experience leveraging open source programming languages for large scale data analysis

• At least 2 years of experience working with machine learning

• At least 2 years of experience utilizing relational databases

Preferred Qualifications:

• PhD in Computer Engineering plus 4 years of relevant experience, prior publication/research experience referred

• At least 3 years of specialized experience in GenAI application development.

• At least 3 years of experience in LLM model training, evaluation, inference optimization and parallelization in GPU cluster

• At least 3 years of experience working with AWS or equivalent GPU Clusters

• At least 5 years of experience in PyTorch/Tensorflow

McLean, VA: $225,400 - $257,200 for Sr Mgr, Data Science New York, NY: $245,900 - $280,600 for Sr Mgr, Data Science San Jose, CA: $245,900 - $280,600 for Sr Mgr, Data ScienceThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Sr. Distinguished AI Engineer

Team Description:

In this role, you will:

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.

• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.

• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.

• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

The Ideal Candidate:

• You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.

• Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.

• You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.

• You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.

• You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.

Basic Qualifications:

• Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies

• At least 10 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications:

• 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)

• Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems

• Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level

• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang

• Master's degree in Computer Science, Computer Engineering, or relevant technical field

• Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost

• Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production

• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

Sales Territory: $280,600 - $320,200 for Sr. Distinguished AI EngineerThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Senior Manager, Product Manager, Generative AI SDK

As a Manager, Product Manager on the Gen AI SDK Experiences product team, you will be the voice of the customer, identifying opportunities for reuse, standardization, and innovation. You’ll collaborate with a cross-functional team to define requirements and deliver high value solutions to the enterprise. The ideal candidate for this role is passionate about technology and deeply empathizes with customer needs. They are comfortable in conversation with stakeholders ranging from technical customers to senior leadership.

Specific responsibilities include, but are not limited to:

• Develop and communicate the product vision for the Gen AI platform and user experience.

• Work closely with partner teams to define requirements and measures of success.

• Prioritize the product backlog to maximize business and customer outcomes.

• Incorporate design thinking and analytics to inform product design.

• Enable collaboration and ensure communication between teams.

• Maintain a healthy backlog of work and play a critical role in many agile ceremonies.

• Support the team with escalation and resolution of impediments.

• Serve as the connection between customers, partners, Capital One’s mission, and your team.

We want you if you are:

• Passionate about building impactful products.

• You deeply understand the needs of modern data scientists and machine learning engineers

• You enjoy putting yourself in the shoes of customers. Even better if you have experience doing this with internal customers.

• You have experience building enterprise platforms with wide-ranging capabilities.

• You are a learner who is able to quickly get up to speed in a highly technical environment.

• You are experienced working in an Agile environment.

• You are a do-er who can also zoom out and think strategically.

• You have excellent oral and written communication skills.

• You are highly collaborative and have the ability to influence and lead.

Basic Qualifications:

• At least 5 years of experience working in Product Management

• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)

  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Preferred Qualifications:

• Experience translating business strategy and analysis into consumer facing digital products

Cambridge, MA: $193,000 - $220,300 for Sr. Mgr, Product Management Chicago, IL: $175,500 - $200,300 for Sr. Mgr, Product Management McLean, VA: $193,000 - $220,300 for Sr. Mgr, Product Management New York, NY: $210,500 - $240,300 for Sr. Mgr, Product Management Richmond, VA: $175,500 - $200,300 for Sr. Mgr, Product Management San Francisco, CA: $210,500 - $240,300 for Sr. Mgr, Product ManagementThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Sr. Director, Software Engineering

You will use your experience in building large scale and highly available distributed systems to develop our shared control plane and fleet management framework as well as distributed compute infrastructure. This foundational architecture will support our diverse offerings ranging from developer notebooks to model training to model inference and feature generation pipelines to pre-training and fine tuning Transformer architecture based models as well as generative AI inference applications. You will partner with senior stakeholders across product, TPM, engineering, data science disciplines, and other cross-functional leaders to establish and execute the vision for our platform foundations. Your depth of experience in technologies including Golang and Python programming languages, gRPC and REST web service frameworks, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, cloud databases and computer security will provide a multiplier effect to our organization

You will:

• Lead, manage and grow multiple teams of platform focused software engineers

• Work with product and other cross-functional partners to develop vision and roadmap for engineering teams and ensure timely execution

• Continuously improve software engineering practices ranging from design to development to testing and deployment

• Influence near and long term system design and architecture and lead the craftsmanship, availability, resilience, and scalability of your solutions

• Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community

• Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity

• Lead efforts to deploy new and existing applications into AWS environments

Basic Qualifications:

• Bachelor’s Degree

• At least 9 years’ experience in software development

• At least 7 years’ experience in people management

Preferred Qualifications:

• Master’s Degree in Computer Science or a Master’s Degree in Software Engineering

• 13+ years’ of experience in software development

• 10+ years of experience with complex architectural patterns, building APIs, microservices, and event streams

• 5+ years of AWS (or equivalent) cloud experience

Boston, MA: $308,700 - $352,300 for Sr. Dir, Software Engineering Cambridge, MA: $308,700 - $352,300 for Sr. Dir, Software Engineering McLean, VA: $308,700 - $352,300 for Sr. Dir, Software Engineering New York, NY: $336,700 - $384,200 for Sr. Dir, Software Engineering Richmond, VA: $280,600 - $320,200 for Sr. Dir, Software Engineering San Francisco, CA: $336,700 - $384,200 for Sr. Dir, Software Engineering San Jose, CA: $336,700 - $384,200 for Sr. Dir, Software EngineeringThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.