Lead Product Manager (AI Technology)

Join Zynga as a Lead Product Manager for our internal AI operating platform. In this hands-on role, you will drive day-to-day execution of the AI platform roadmap, build and run the intake and triage process for incoming requests, conduct research to support product decisions, and own the measurement framework for the platform. You will partner directly with engineering, coordinate with design and other product leads, and stay current on the technical AI landscape. This position offers a range of benefits, including wellness programs, flexible time-off policies, and comprehensive health coverage.

- Drive day-to-day execution of the AI platform roadmap in close partnership with engineering, from spec through release and post-launch iteration. - Build and run the intake and triage process for incoming requests, establishing clear criteria for prioritization and a repeatable operating cadence. - Own the measurement framework for the platform: usage, adoption, and performance metrics, reporting cadence, and the mechanisms to catch regressions or gaps early.

- Data-driven decision making: Proficient in defining metrics, analyzing data (SQL/dashboards), and using evidence to prioritize and measure impact - Exceptional communication: Proven ability to write clear specs and translate complex technical execution for both engineering and senior leadership - Strong operational rigor: Track record of designing structured intake/triage processes, managing competing priorities, and driving multi-workstream execution - 6+ years of end-to-end PM experience, leading complex, technical, multi-team product areas from strategy through delivery - Deep technical fluency & engineering partnership: Able to navigate specs, APIs, and system constraints to make credible tradeoffs and earn team trust - High agency in ambiguity: A self-starter who thrives in undefined environments, takes ownership, and shapes process rather than waiting for direction - Bachelor’s degree or equivalent practical experience (advanced degree a plus). Agile-fluent - AI/ML expertise: Hands-on experience with AI-powered products (LLMs, agents, RAG, automation) and using AI tools to streamline internal workflows