Staff Product Manager (AI Platform and Experiences)
Toronto, ONFull-TimeManagerProduct / Project
What You'll Do:
- Set direction and strategy:
- Define the vision, strategy, and roadmap for practitioner-facing AI experiences, aligning near-term delivery with long-term platform evolution
- Bring focus and cohesion to AI initiatives across the platform, helping teams align around shared goals, principles, and success metrics
- Translate ambiguous problem spaces into clear product opportunities, prioritization decisions, and execution plans
- Help establish guardrails for how AI is used at Fullscript, with an emphasis on practitioner trust, usability, and control
- Make informed product decisions that account for system-level constraints such as performance, cost, reliability, and extensibility
- Help align short-term product delivery with longer-term technical investments in AI and platform capabilities
- Deliver meaningful AI-powered experiences:
- Lead the evolution of assistive and embedded AI experiences that support practitioners within their existing workflows
- Ensure AI features are grounded in accurate platform context and designed to complement, not replace, professional judgment
- Balance speed of iteration with quality, safety, and reliability, particularly in care-adjacent experiences
- Advocate for calm, intuitive interactions that reduce cognitive load rather than adding new complexity
- Partner closely with Engineering to define how AI capabilities are orchestrated, composed, and exposed to the product surface
- Partner closely with Engineering to define how AI capabilities are orchestrated, exposed, and safely operated within the product, including clear failure modes and fallback behaviors
- Ensure AI quality, evaluation, and readiness:
- Define clear product goals, user outcomes, and delivery paths for AI features with non-deterministic behavior
- Establish acceptance criteria and launch readiness standards for AI features where behavior is probabilistic rather than deterministic
- Partner with Engineering and Data teams to shape evaluation approaches, including offline testing, human-in-the-loop review, and production monitoring
- Ensure AI quality, reliability, and trust considerations evolve alongside models, prompts, and user workflows—not as post-launch fixes
- Work cross-functionally at scale:
- Act as a strong product counterpart to Engineering and Data leadership, contributing meaningfully to discussions around architecture, system evolution, and technical tradeoffs
- Collaborate on evaluation, observability, and feedback mechanisms to ensure AI systems remain understandable and improvable over time
- Help define shared patterns and primitives that enable other teams to build AI-powered features more quickly and consistently
- Help bridge product intent and technical execution by ensuring clarity around requirements, constraints, and tradeoffs throughout discovery and delivery
- Serve as a cross-functional leader across Product, Engineering, Data Science, Design, Legal, and Security, clearly communicating AI performance, risks, tradeoffs, and decision-making frameworks to both executive and non-technical stakeholders
- Mentor other PMs on AI product best practices, including evaluation and quality considerations
- Measure impact:
- Define and own success metrics tied to practitioner value and business outcomes
- Use a mix of qualitative insight and quantitative data to guide prioritization and iteration
- Ensure learnings from launches and experiments are shared and inform broader product strategy
What You Bring:
- 8+ years of product management experience, with a track record of leading complex, cross-functional initiatives
- Strong systems thinking and comfort working at the intersection of product, engineering, and data
- Experience collaborating deeply with engineering teams on technically complex products, including contributing to discussions around architecture, tradeoffs, and sequencing of technical work
- Ability to understand and reason about how modern AI-powered systems are built and operated, even if you’re not hands-on with implementation
- Backgrounds in software engineering, data, or other technical disciplines are welcome, but not required
- Familiarity with concepts such as APIs, distributed systems, experimentation, observability, and system reliability, and how they impact product quality and user experience
- Experience using AI both as a product capability and as a tool to improve discovery, delivery, and decision-making across the product development lifecycle
- Demonstrated curiosity and informed perspectives on emerging AI patterns (e.g., copilots, agents, automation) and how they may shape future product opportunities
- A track record of elevating teams by sharing practical insights, patterns, or approaches others can learn from
Bonus if you have:
- Experience working on AI-assisted, automation, or decision-support products
- Exposure to healthcare, regulated environments, or trust- and safety-sensitive products
- Experience influencing product direction beyond a single team or roadmap
What We Can Offer You:
- Flexible time off – We trust you to manage your time in a way that supports sustained impact and balance
- Competitive compensation + equity – Pay and ownership that reflect the scope and influence of a Director-level role
- Retirement support – RRSP match to invest in your long-term plans
- Comprehensive health coverage – Premium, flexible benefits including paramedical services and HSA options
- Product-driven learning culture – Dedicated learning budget and access to company-wide initiatives focused on building better systems, not just skills
- Remote-first with flexibility – Work where you’re most effective, with the autonomy expected at a senior level
- Fullscript product access – Discounts on practitioner-grade wellness products, because we build what we believe in