Lead Product Manager, AI Technology

The posting, as Zynga wrote it

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.

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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 require
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e for this position. All candidates must be legally authorized to work in the United States without requiring current or future employer sponsorship.
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