We are looking for a Senior Product Manager, Applied AI to own customer deployments from initial discovery and product scoping through delivery, adoption, and value realizationIn this role, you will work directly with enterprise customers to understand their most important workflows, translate business objectives into clear product and technical requirements, and build a sequenced deployment roadmap. You will partner closely with Forward Deployed Engineers, internal Product and Engineering teams, and cross-functional partners across Sales, Customer Success, Data, Security, Legal, Finance, and OperationsYou will serve as the product owner for the customer engagement: accountable for the problem being solved, the scope and success criteria, the deployment roadmap, and the business value ultimately delivered. You will also help identify which customer needs represent repeatable product opportunities and work with the internal teams to incorporate those insights into the broader product roadmapThis is an opportunity to join an emerging motion at an early stage and requires people with entrepreneurial mindset. Beyond delivering individual customer engagements, you will help define the product, operating model, playbooks, and decision frameworks required to scale this new product and motionBuild trusted relationships with customer executives, business leaders, technical stakeholders, and end usersLead discovery to understand customer objectives, workflows, user needs, data and technical constraints, and desired business outcomesIdentify and prioritize high-value use cases, define the minimum viable deployment, and establish explicit success and acceptance criteriaTranslate ambiguous customer problems into clear product requirements, prioritization decisions, and a sequenced product and deployment roadmapTranslate customer objectives into a clear product and deployment roadmap covering milestones, workstreams, dependencies, risks, decision points, and launch criteriaCreate high-quality product artifacts, including problem statements, product requirements, workflow definitions, user stories, acceptance criteria, prioritization frameworks, and executive decision documentsOwn delivery governance across Coursera + Udemy and customer teams, maintaining clarity on scope, timelines, responsibilities, risks, and unresolved decisionsWork closely with Forward Deployed Engineers and internal Engineering teams to translate business workflows into deployable technical solutionsParticipate credibly in discussions involving system architecture, APIs, data flows, integrations, identity and access management, infrastructure, security,



privacy, scalability, reliability, and deployment modelsEvaluate technical and product trade-offs, challenge assumptions, and ensure that proposed solutions are feasible, supportable, secure, and aligned with customer outcomesPartner with engineering teams on AI-specific considerations such as data quality, evaluation approaches, human oversight, model limitations, responsible AI, and production-readiness criteriaDefine the value hypothesis for each customer engagement and establish the business, adoption, and product metrics required to measure successEvaluate effort, implementation complexity, cost-to-serve, and expected customer value when making scope and prioritization decisionsPartner with Sales, Finance, Legal, and Customer Success on scope boundaries, business cases, commercial assumptions, and material changes to customer engagementsTranslate deployment results into clear narratives on adoption, ROI, customer impact, and future opportunitiesIdentify recurring customer workflows, requirements, and technical patterns that can become reusable product capabilitiesPartner with Product and Engineering teams to bring field insights into the broader roadmap and build repeatable discovery, scoping, deployment, and measurement playbooksBenefits Coursera covers the cost of tuition so you can earn a free master’s degree and develop new skills. That’s on top of free, lifelong access to courses and certificates on the platformWe offer medical, dental, and vision insurance for you and your dependents. Plus, free access to counseling and mental health servicesGet up to 16 weeks of fully-paid parental leave when you grow your family and bring a new child into your lifeWe host Make-a-thon events twice a year to promote community and innovation. During Make-a-thon, you’ll dedicate time to attend workshops, work on passion projects, and pursue ideas outside of your day-to-day workTake paid time off when you need it. We have time off policies that promote flexibility so you can tailor your work schedule when life callsOur flexibility extends to where you work. You can choose to work from home, work from one of our offices, or try a combination of the twoEmployees earn company stock,



so you can own what we build together and share in our successExperience Experience working with B2 B products involving platforms, data, APIs, integrations, infrastructure, or complex enterprise workflowsDemonstrated experience taking technically complex enterprise products, platforms, or customer deployments from discovery and scoping through production launch and adoptionStrong technical fluency and the ability to reason about enterprise software architecture, data and integrations, cloud environments, security, privacy, and software deliveryExcellent product judgment with the ability to convert ambiguous problems into clear requirements, prioritized roadmaps, and measurable outcomesFinancial and commercial acumen, including experience evaluating business cases, effort versus value, delivery economics, ROI, and the implications of scope and prioritization decisionsStrong understanding of AI- and LLM-enabled products, including where these technologies create value, their limitations, and the considerations involved in deploying them in enterprise workflowsWillingness to collaborate across global time zones and travel periodically for customer discovery, delivery, and executive engagementsStrong program and delivery management skills, including managing multiple workstreams, dependencies, risks, changing scope, and executive-level communicationHands-on prototyping experience with AI-assisted or low-code development tools such as Claude, Cursor, Lovable, Retool, or similar platformsAbility to operate effectively in ambiguity, influence cross-functional teams without formal authority, and communicate equally well with executives, product teams, and engineersStrong customer-facing experience working directly with senior business leaders, technical stakeholders, and executive sponsors8+ years of relevant experience across B2 B product management, enterprise software, technical consulting, solutions delivery, or related roles, with clear ownership of product or customer outcomesExperience deploying AI, machine-learning, LLM, RAG, or agentic solutions into production enterprise environmentsFamiliarity with AI evaluation, guardrails, human-in-the-loop workflows, observability, model performance, and responsible-AI practicesExperience working in education technology, workforce transformation, talent intelligence, skills, learning platforms, or other enterprise environments involving complex stakeholder and data ecosystemsExperience delivering products or programs across multiple regions, industries, or regulatory environments#J-18808-Ljbffr

📌 Senior Product Manager (Applied Ai) (Quebec City)
🏢 Coursera
📍 Quebec City