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

Capital One • McLean, VA

2d • Remote

About The Position

Capital One Shopping’s AI Enablement team builds and owns the AI products and platforms used across the organization. The Senior Product Manager will own Shopping’s agentic analytics platform, partnering with platform engineers to build and operate capabilities that teams across Shopping depend on. The role combines enterprise data platform expertise with product leadership, and includes defining trustworthy data, metrics, context, and guardrails for AI agents working with structured data.

The successful candidate will guide an evolving mandate with minimal direction, develop a compelling product vision, and align senior executives, partner teams, and stakeholders. The role emphasizes hands-on prototyping, user-centered prioritization, reliable platform outcomes, and making successive deployments cheaper and faster. The position is remote-eligible and may be hired remotely. The role is also eligible for performance-based incentive compensation.

Requirements

• At least 4 years of experience in Product Management, Solutions or Deployment Engineering, Technical Consulting, or Data Analytics.
• Currently has, or is in the process of obtaining, a bachelor’s or master’s degree in a quantitative field, Business, or Marketing, with the required degree obtained by the scheduled start date; alternatively, a bachelor’s degree in any field plus at least 4 years of qualifying experience.
• Deep experience with enterprise data and its definition and governance, including semantic and metrics layers, data catalogs, ontologies, data warehouses, and BI.
• Familiarity with modern data-stack tools such as dbt, LookML, Snowflake, Databricks, Palantir Foundry, Looker, or Mode.
• Familiarity with how AI agents work across structured data, including text-to-SQL, tool use, evaluations, and system failure modes.
• Experience adjudicating metric disputes and making decisions stick.
• Ability and willingness to prototype hands-on using tools rather than relying on others to run them.
• Comfort with backend and internal platform products serving diverse business and technical users, with success measured by trust in outputs.
• Ability to work with minimal direction while the mandate is still taking shape.
• Deep work experience handling large data files using SQL, Python, and/or R.
• Strong communication skills to advance initiatives and build consensus through clear, concise, contextually relevant messaging.
• Must not require new employment authorization sponsorship from Capital One.

Nice To Haves

• 7 or more years of experience in Product Management, Solutions or Deployment Engineering, Technical Consulting, or Data Analytics, including ownership of an internal platform or a production deployment in a real operating environment.
• 4 or more years of direct data experience with deep proficiency in SQL.
• Experience defining and governing metrics across teams that did not agree.
• Experience with semantic layers, metrics layers, or ontologies, such as dbt, LookML, Cube, Palantir Foundry, or comparable tools.
• Applied AI experience.
• Active use of AI tools such as Claude Code, Codex, or Cursor to prototype.

Responsibilities

• Partner with platform engineers to build and operate AI products used across Shopping, beginning with an agentic analytics platform.
• Understand enterprise data requirements and ensure the system complies with enterprise patterns.
• Define the data, definitions, and context a system needs in order to be trusted.
• Set boundaries for what agents can and cannot do, and demonstrate that those boundaries hold in practice.
• Understand user and stakeholder needs and incorporate them into prioritization and trade-off discussions.
• Make each successive deployment cheaper and faster than the last.
• Build and maintain strong relationships with leaders and stakeholders who depend on platform capabilities and performance.
• Define, socialize, and monitor key performance indicators to assess the project’s evolution and success.
• Develop a compelling product vision and communicate it to senior executives and partner teams.
• Prototype solutions using relevant tools and advance initiatives through clear communication and cross-functional alignment.

Benefits

• Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior