- 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

- 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

Benefits

- WELLNESS - Gym benefits, wellness programs, employee assistance programs and generous time-off policies

- FOOD - Food and snacks made in-house or delivered, healthy snack kitchens with drinks and treats, coffee bars, regular social gatherings and happy hours

- WORK & LIFE - Flexible time-off policies (DTO), office rest areas, gaming spaces, employee discounts and more

- TRANSIT BENEFITS - Shuttle service in select locations, commuter/parking benefits, secure bicycle storage, business travel assistance





- RESOURCE GROUPS - Women at Zynga (WAZ), zCares charitable giving, zParents, zEndurance adventure club, BZU, zPride LGBTQ+ inclusion and belonging

- COMPENSATION - Performance bonuses, opportunities for equity participation & retirement/pension savings support

- HEALTH - Medical, dental & vision covered for employees, with participation for employees eligible dependents, plus disability and life insurance program

- FAMILY - Generous parental leave for birth parents, partners and adoptive families, plus Infertility support, emergency child care and versatile time-off policies- 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

📌 Lead Product Manager (AI Technology) (Austin)
🏢 Zynga
📍 Austin