
Lead Product Manager, AI Technology
Zynga · Austin, TX
Job description
Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview: We're looking for a Lead Product Manager to run execution on Zynga's internal AI operating platform - the system through which teams across the company access, govern, and act on AI capabilities. This role owns the operational backbone that turns AI requests into shipped capabilities: intake, triage, research, execution with engineering, and measurement of impact. You'll partner directly with engineering to drive delivery across a platform spanning several interconnected surfaces (chat, knowledge bases, connectors/MCPs, workflows, and documents). This is a hands-on, execution-heavy role for someone who's energized by running a tight operational loop - turning incoming requests into scoped work, keeping engineering unblocked, and holding the team accountable to outcomes with data. You'll work within a roadmap and priorities set by product leadership, and focus on making sure the right things get built, on time, and that you can prove they're working. What You'll Do: 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 (studio needs, feature ideas, bugs, integration asks), establishing clear criteria for prioritization and a repeatable operating cadence. Conduct research to support product decisions - technical landscape scans (models, tooling, competitive AI platforms), stakeholder discovery, and feasibility assessments - and turn findings into clear, actionable write-ups. Own the measurement framework for the platform: usage, adoption, and performance metrics, reporting cadence, and the mechanisms to catch regressions or gaps early. Write clear, detailed, and technically grounded specs and requirements for complex, cross-surface features; make day-to-day tradeoff calls when priorities, timelines, or scope conflict. Act as the primary product point of contact for engineering on your area, unblocking the team and escalating the right issues to leadership. Coordinate with design, other product leads, and studio stakeholders to keep execution aligned with agreed priorities. Stay current on the technical AI landscape (models, agent frameworks, emerging tools) as it relates to features already in flight or under evaluation. Be a role model for AI-first ways of working: actively look for pieces of your own product work - intake, triage, research, reporting - that can be moved into agentic workflows rather than done by hand, and set the example for how the rest of the team should operate. Contribute to team operating practices - documentation standards, spec quality, reporting rigor - that keep execution consistent as the platform grows. What You Bring: 6+ years of end-to-end PM experience, leading complex, technical, multi-team product areas from strategy throu
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