Lead Product Manager, AI Technology

Role overview

Responsibilities

• Drive roadmap work from specifications through release and post-launch iteration with engineering.
• Build intake and triage processes for studio needs, feature ideas, bugs, and integration requests.
• Research AI technology, stakeholder needs, and feasibility; document actionable findings.
• Define platform usage, adoption, and performance measures and reporting; detect regressions and gaps.
• Write technically grounded specifications and requirements; make day-to-day scope and priority tradeoffs.
• Unblock engineering, escalate appropriate issues, and coordinate with design, product leads, and studio stakeholders.
• Track emerging AI models, agent frameworks, and tools relevant to platform work.
• Move suitable product work into agentic workflows and contribute documentation and reporting standards.

Required qualifications

• 6+ years of end-to-end product management leading complex technical, multi-team product areas.
• Technical fluency with specifications, APIs, and system constraints.
• Hands-on AI product experience involving LLMs, agents, RAG, or automation, plus using AI tools to streamline workflows.
• Experience establishing intake and triage, managing competing priorities, and driving multiple workstreams.
• Ability to define metrics, analyze data using SQL or dashboards, and apply evidence to product decisions.
• Strong communication and specification-writing skills for engineering and senior leadership.
• Ownership and process-shaping ability in ambiguous environments.
• Bachelor’s degree or equivalent practical experience; advanced degree is a plus. Agile fluency.

Compensation

• Ontario starting pay range is CAD 118,300–168,300 per year; actual base pay may vary based on location, experience, skills, and other business factors.
• Total compensation may include bonus or equity awards and benefits.

Workplace and eligibility

• The description states candidates must be authorized to work in the United States without current or future employer sponsorship.
• The stated United States work authorization condition conflicts with the Toronto, Ontario location.