Senior Product Manager, AI Enablement - Analytics: Capital One Shopping (Remote-Eligible)

Overview Senior Product Manager, AI Enablement - Analytics: Capital One Shopping (Remote-Eligible)

Come join our growing team in Capital One Shopping - the AI Enablement team builds and owns the AI products and platforms the rest of the organization runs on. 

Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.

We're looking for a Senior Product Manager with deep data platform experience to own Shopping’s agentic analytics platform. Applied AI experience is a plus, and we value candidates who are builders and actively use AI tools (e.g., Claude Code, Codex, Cursor) to prototype rather than specify, and who’d rather ship a PoC than write a doc about it. Show us what you’ve built.

Capital One Product Framework

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 - Leads cross functional teams to solve customer problems and drive organizational alignment

What we are looking for:

• Deep experience with enterprise data and how it’s defined and governed (semantic and metrics layers, data catalogs, ontologies, warehouse and BI, etc.)
• Familiarity with tools across the modern data stack (dbt, LookML, Snowflake, Databricks, Palantir Foundry, Looker, Mode, etc.)
• Familiarity with how AI agents work across structured data (text-to-SQL, tool use, evals, and where these systems fail)
• Someone who has adjudicated metric disputes and made the decision stick
• A builder who would rather be in the tools prototyping than be dependent on someone else to run them
• Comfort with backend and internal platform products, where the users are diverse business and technical teams, and the measure is whether they trust the outputs
• A strategic thought leader who can create a compelling vision and story to present to senior executives and inspire direct and partner teams
• A strong communicator who can advance initiatives and create consensus through clear, concise, and contextually relevant messaging
• Someone who works with minimal direction and a mandate that’s still taking shape
• Deep work experience handling large data files using SQL, Python, and/or R

What you’ll do:

• Partner with platform engineers to build and operate AI products that teams across Shopping depend on, starting with an agentic analytics platform 
• Understand the enterprise data requirements and ensure the system’s compliance with enterprise patterns
• Define what a system needs to know to be trusted (the data, the definitions, the context behind both)
• Set the boundaries for what agents can and can’t do, and prove those boundaries hold in practice
• Relentlessly push to understand user and stakeholder needs and ensure they are considered in prioritization and trade-off discussions
• Make each successive deployment cheaper and faster than the last 
• Build and maintain strong relationships with leaders and stakeholders that depend on the capabilities and performance of our platforms
• Define, socialize, and monitor key performance indicators to understand the evolution and success of the project

Basic Qualifications:

• At least 4 years of experience in Product Management , Solutions or Deployment Engineering, Technical Consulting, or Data Analytics experience
• 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 or 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), Business or Marketing
  • OR
  • Bachelor's degree in any field and at least 4 years of Product Management , Solutions or Deployment Engineering, Technical Consulting, or Data Analytics experience 

Preferred Qualifications:

• 7+ years of Product Management, Solutions or Deployment Engineering, Technical Consulting, or Data Analytics experience, including ownership of an internal platform or a production deployment into a real operating environment
• 4+ years of experience working directly in data, with a deep proficiency in SQL
• Experience defining and governing metrics across teams that did not agree 
• Experience with semantic layers, metrics layers, or ontologies (dbt, LookML, Cube, Palantir Foundry, or comparable)

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

Capital One is open to hiring a Remote Employee for this opportunity.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $200,700 - $229,100 for Sr. Mgr, Product Management

New York, NY: $219,000 - $249,900 for Sr. Mgr, Product Management

Remote (Regardless of Location): $182,500 - $208,300 for Sr. Mgr, Product Management

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This 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.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).