Senior Product Manager, AI & Developer Productivity Data Strategy

Capital One•McLean, VA

17h

About The Position

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. About the Team As a Senior Manager of Product Management for Inner Loop, you will own the measurement and acceleration of how 14K+ developers write, test, and ship code at Capital One. You'll define the metrics that engineering leaders use to invest, build data products that quantify developer productivity, and shape how the enterprise measures the impact of AI coding tools on the software development lifecycle. By turning developer experience data into actionable insights, you will directly influence how Capital One builds software faster, with higher quality, and less friction. We are looking for a data-driven product leader who is obsessed with measurement methodology and believes that what gets measured well gets improved. The team is hiring multiple positions across the following areas: CODE Metrics Own the enterprise's developer productivity measurement platform. You'll define metrics that shape how engineering leaders invest, drive CODE Metrics framework expansion. AI Telemetry Own the unified measurement framework for AI coding tools. You'll define how we measure risk, utilization, and impact of AI across the SDLC, a brand-new space with executive visibility. DX Research Own our in-house telemetry platform developer experience research program. You'll drive coverage across 14K+ developers and turn raw telemetry into enterprise insights. 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

Requirements

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

Nice To Haves

Experience translating business strategy and analysis into consumer facing digital products
Strong data fluency in SQL, metrics design, and data pipelines
Experience using AI tools like Windsurf, CoPilot, Claude Code and building AI workflows

Responsibilities

Own the measurement and acceleration of how 14K+ developers write, test, and ship code at Capital One.
Define the metrics that engineering leaders use to invest.
Build data products that quantify developer productivity.
Shape how the enterprise measures the impact of AI coding tools on the software development lifecycle.
Turn developer experience data into actionable insights.
Define metrics that shape how engineering leaders invest.
Drive CODE Metrics framework expansion.
Define how we measure risk, utilization, and impact of AI across the SDLC.
Drive coverage across 14K+ developers and turn raw telemetry into enterprise insights.