Staff Product Manager responsible for AI experiences at Fullscript. Leading strategy and collaboration among product, engineering, and data teams.
Responsibilities
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
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
Define clear product goals, user outcomes, and delivery paths for AI features with non-deterministic behavior
Serve as a strong product counterpart to Engineering and Data leadership, contributing meaningfully to discussions around architecture, system evolution, and technical tradeoffs
Mentor other PMs on AI product best practices, including evaluation and quality considerations
Requirements
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
Benefits
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
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