About FullscriptWe’re an industry‑leading health technology company on a mission to help people get better. We started in 2011 with one simple idea: make it easier for practitioners to access the products they trust so they can deliver better care. That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high‑quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment. We build tools that make care smarter and more human—tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better.The RoleWe’re hiring a Staff Product Manager, AI Platform & Experiences to shape how AI meaningfully supports practitioners across the Fullscript platform. In this senior individual‑contributor role you’ll define strategy and drive execution for practitioner‑facing AI experiences, work across product, engineering, and data teams, and ensure our AI capabilities are reliable, scalable, and thoughtfully integrated. You’ll navigate ambiguity, make informed technical trade‑offs, and help establish what “great” looks like for AI‑powered product experiences at Fullscript.About our AI platformFullscript’s AI capabilities are already live in production and continue to evolve. Our practitioner‑facing AI experiences are built on a modern foundation that includes LLM‑backed assistive workflows, shared platform context services, serverless delivery, and supporting infrastructure for evaluation, monitoring, and iteration. While this role does not require hands‑on engineering, it does require comfort engaging deeply with technical concepts—understanding how AI systems are composed, how changes impact quality and performance, and how platform‑level decisions affect downstream product experiences. You’ll work closely with Engineering and Data partners to shape both the experience layer and the systems that support it.What You’ll DoSet direction and strategy: define the vision, strategy, and roadmap for practitioner‑facing AI experiences, aligning near‑term delivery with long‑term platform evolutionBring focus and cohesion to AI initiatives across the platform, helping teams align around shared goals, principles, and success metricsTranslate ambiguous problem spaces into clear product opportunities, prioritization decisions, and execution plansHelp establish guardrails for how AI is used at Fullscript, with an emphasis on practitioner trust, usability, and controlMake informed product decisions that account for system‑level constraints such as performance, cost, reliability, and extensibilityHelp align short‑term product delivery with longer‑term technical investments in AI and platform capabilitiesDeliver meaningful AI‑powered experiences: lead the evolution of assistive and embedded AI experiences that support practitioners within their existing workflowsEnsure AI features are grounded in accurate platform context and designed to complement, not replace, professional judgmentBalance speed of iteration with quality, safety, and reliability, particularly in care‑adjacent experiencesAdvocate for calm,



intuitive interactions that reduce cognitive load rather than adding new complexityPartner closely with Engineering to define how AI capabilities are orchestrated, composed, and exposed to the product surfacePartner closely with Engineering to define how AI capabilities are orchestrated, exposed, and safely operated within the product, including clear failure modes and fallback behaviorsEnsure AI quality, evaluation, and readiness: define clear product goals, user outcomes, and delivery paths for AI features with non‑deterministic behaviorEstablish acceptance criteria and launch readiness standards for AI features where behavior is probabilistic rather than deterministicPartner with Engineering and Data teams to shape evaluation approaches, including offline testing, human‑in‑the‑loop review, and production monitoringEnsure AI quality, reliability, and trust considerations evolve alongside models, prompts, and user workflows—not as post‑launch fixesWork 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 trade‑offsCollaborate on evaluation, observability, and feedback mechanisms to ensure AI systems remain understandable and improvable over timeHelp define shared patterns and primitives that enable other teams to build AI‑powered features more quickly and consistentlyHelp bridge product intent and technical execution by ensuring clarity around requirements, constraints, and trade‑offs throughout discovery and deliveryServe as a cross‑functional leader across Product, Engineering, Data Science, Design, Legal, and Security, clearly communicating AI performance, risks, trade‑offs, and decision‑making frameworks to both executive and non‑technical stakeholdersMentor other PMs on AI product best practices, including evaluation and quality considerationsMeasure impact: define and own success metrics tied to practitioner value and business outcomesUse a mix of qualitative insight and quantitative data to guide prioritization and iterationEnsure learnings from launches and experiments are shared and inform broader product strategyWhat You Bring8+ years of product management experience, with a track record of leading complex, cross‑functional initiativesStrong systems thinking and comfort working at the intersection of product, engineering, and dataExperience collaborating deeply with engineering teams on technically complex products, including contributing to discussions around architecture, trade‑offs, and sequencing of technical workAbility to understand and reason about how modern AI‑powered systems are built and operated, even if you’re not hands‑on with implementationBackgrounds in software engineering, data, or other technical disciplines are welcome, but not requiredFamiliarity with concepts such as APIs, distributed systems, experimentation, observability, and system reliability, and how they impact product quality and user experienceExperience using AI both as a product capability and as a tool to improve discovery, delivery, and decision‑making across the product development lifecycleDemonstrated curiosity and informed perspectives on emerging AI patterns (e.G.,



copilots, agents, automation) and how they may shape future product opportunitiesA track record of elevating teams by sharing practical insights, patterns, or approaches others can learn fromBonus if you haveExperience working on AI‑assisted, automation, or decision‑support productsExposure to healthcare, regulated environments, or trust‑and‑safety‑sensitive productsExperience influencing product direction beyond a single team or roadmapWhat We Can Offer YouFlexible time off – we trust you to manage your time in a way that supports sustained impact and balanceCompetitive compensation + equity – pay and ownership that reflect the scope and influence of a director‑level roleRetirement support – RRSP match to invest in your long‑term plansComprehensive health coverage – premium, flexible benefits including paramedical services and HSA optionsProduct‑driven learning culture – dedicated learning budget and access to company‑wide initiatives focused on building better systems, not just skillsRemote‑first with flexibility – work where you’re most effective, with the autonomy expected at a senior levelFullscript product access – discounts on practitioner‑grade wellness products, because we build what we believe inHow we workWe’re intentional about how we apply AI, focusing on real practitioner needs, measurable outcomes, and long‑term trust rather than novelty or hype. We value strong product thinking, close cross‑functional collaboration, and continuous learning as the platform and technology evolve. We believe great AI products are built through strong partnership between Product, Engineering, and Data, combining user empathy with technical rigor.Compensation RangeThe salary range for this role is between $140,000 and $170,000 CAD. Fullscript shares salary ranges to support transparency and help candidates make informed decisions. The range shown reflects base salary only and does not include stock options, wellness stipends, or other perks that are part of Fullscript’s total rewards package. Final compensation depends on experience, skills, and location. We review pay regularly to stay aligned with market data and internal equity. Benefits and total rewards may vary by region.Why FullscriptGreat work happens when people feel supported, trusted, and inspired. At Fullscript, we stay curious and keep finding smarter ways to make care better. We grow together, take on new challenges, and focus on impact. We put people first, work as a team, and leave egos at the door.What to know before you applyWe’re grateful for the interest in joining Fullscript. To make sure your application reaches our hiring team, please apply directly through our careers page. We’re not able to respond to individual messages about open roles on email or social channels.Equal Opportunity EmployerFullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at [email protected] ChecksAll offers are contingent on successful background checks conducted in compliance with federal, state, and provincial laws.AI Hiring Tool StatementWe use AI tools to support parts of the hiring process, including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada and the U.S.Learn Morewww.Fullscript.ComContact@fullscriptHQ on InstagramTaglineLet’s make healthcare whole#J-18808-Ljbffr

📌 Staff Product Manager (Ai Platform And Experiences) - C$140,000 - C$170,000 A Year - Remote (Toronto)
🏢 Fullscript
📍 Toronto