Senior Product Manager, AI & Developer Productivity Data Strategy

Responsibilities

• Own the enterprise's developer productivity measurement platform.
• Define metrics that shape how engineering leaders invest, drive CODE Metrics framework expansion.
• Own the unified measurement framework for AI coding tools.
• Define how we measure risk, utilization, and impact of AI across the SDLC, a brand-new space with executive visibility.
• Turn raw telemetry into enterprise insights through the in-house telemetry platform developer experience research program.
• Collaborate with cross-functional teams to solve customer problems and drive organizational alignment.

• 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
• 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