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Salary: CAD 118,300 - 168,300 / annual
Zynga, a global leader in interactive entertainment and label of Take-Two Interactive, is seeking a Product Manager to lead execution on its internal AI operating platform. This platform serves as the operational backbone through which teams across the company access, govern, and act on AI capabilities.
In this hands-on, execution-heavy role, you will own the end-to-end operational loop: intake and triage of incoming requests, research and feasibility assessment, partnership with engineering through delivery, and measurement of impact. You'll work within a roadmap set by product leadership and focus on ensuring the right features ship on time with proven outcomes.
Key responsibilities include:
- Drive day-to-day execution of the AI platform roadmap in close partnership with engineering, from specification 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 prioritization criteria and repeatable operating cadence
- Conduct research on technical landscape (models, tooling, competitive AI platforms), stakeholder discovery, and feasibility assessments; translate findings into actionable write-ups
- Own the measurement framework: define usage, adoption, and performance metrics; establish reporting cadence; implement mechanisms to catch regressions early
- Write clear, detailed, technically grounded specs for complex cross-surface features; make day-to-day tradeoff calls on priorities, timelines, and scope
- Serve as primary product point of contact for engineering, unblocking the team and escalating issues appropriately
- Coordinate with design, other product leads, and studio stakeholders to maintain execution alignment
- Stay current on the AI/ML landscape (models, agent frameworks, emerging tools) as it relates to features in flight or under evaluation
- Model AI-first ways of working by identifying pieces of your own work (intake, triage, research, reporting) that can be moved into agentic workflows
- Contribute to team operating practices, documentation standards, and spec quality that maintain consistency as the platform scales
Requirements:
- 6+ years of end-to-end PM experience leading complex, technical, multi-team product areas from strategy through delivery
- Deep technical fluency and strong engineering partnership skills; able to navigate specs, APIs, and system constraints to make credible tradeoffs and earn team trust
- AI/ML expertise: hands-on experience with AI-powered products (LLMs, agents, RAG, automation) and using AI tools to streamline internal workflows
- Strong operational rigor with track record of designing structured intake/triage processes, managing competing priorities, and driving multi-workstream execution
- Data-driven decision making: proficient in defining metrics, analyzing data (SQL/dashboards), and using evidence to prioritize and measure impact
- Exceptional communication skills; proven ability to write clear specs and translate complex technical execution for both engineering and senior leadership
- High agency in ambiguity; self-starter who thrives in undefined environments, takes ownership, and shapes process
- Bachelor's degree or equivalent practical experience (advanced degree a plus)
- Agile fluency required
- Must be legally authorized to work in the United States without requiring current or future employer sponsorship
