Lead Product Manager, AI Technology

Zynga•Toronto, ON
•CA$118,300 - CA$168,300

About The Position

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.

Requirements

  • 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.
  • 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: 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: Proven ability to write clear specs and translate complex technical execution for both engineering and senior leadership.
  • 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.

Responsibilities

  • 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

  • medical, dental, vision, and basic life insurance coverage
  • 14 paid holidays per calendar year
  • paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program
  • up to 10 paid sick days per calendar year
  • paid parental and compassionate leave
  • wellbeing programs for mental health and other wellness support
  • family planning support through Maven
  • commuter benefits
  • reimbursements for fitness-related expenses
  • bonus and/or equity awards
  • eligibility to participate in our 401(K) plan
  • Employee Stock Purchase Program
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