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 realization In 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 Operations

You 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 roadmap

This 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 motion

Build trusted relationships with customer executives, business leaders, technical stakeholders, and end users

Lead discovery to understand customer objectives, workflows, user needs, data and technical constraints, and desired business outcomes

Identify and prioritize high-value use cases, define the minimum viable deployment, and establish clear success and acceptance criteria

Translate ambiguous customer problems into clear product requirements, prioritization decisions, and a sequenced product and deployment roadmap

Translate customer objectives into a transparent product and deployment roadmap covering milestones, workstreams, dependencies, risks, decision points, and launch criteria

Create high-quality product artifacts, including problem statements, product requirements, workflow definitions, user stories, acceptance criteria, prioritization frameworks, and executive decision documents

Own delivery governance across Coursera + Udemy and customer teams, maintaining clarity on scope, timelines, responsibilities, risks, and unresolved decisions

Work closely with Forward Deployed Engineers and internal Engineering teams to translate business workflows into deployable technical solutions

Participate credibly in discussions involving system architecture, APIs, data flows, integrations, identity and access management, infrastructure, security,



privacy, scalability, reliability, and deployment models

Evaluate technical and product trade-offs, challenge assumptions, and ensure that proposed solutions are feasible, supportable, secure, and aligned with customer outcomes

Partner with engineering teams on AI-specific considerations such as data quality, evaluation approaches, human oversight, model limitations, responsible AI, and production-readiness criteria

Define the value hypothesis for each customer engagement and establish the business, adoption, and product metrics required to measure success

Evaluate effort, implementation complexity, cost-to-serve, and expected customer value when making scope and prioritization decisions

Partner with Sales, Finance, Legal, and Customer Success on scope boundaries, business cases, commercial assumptions, and material changes to customer engagements

Translate deployment results into clear narratives on adoption, ROI, customer impact, and future opportunities

Identify recurring customer workflows, requirements, and technical patterns that can become reusable product capabilities

Partner with Product and Engineering teams to bring field insights into the broader roadmap and build repeatable discovery, scoping, deployment, and measurement playbooks

Benefits

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 platform

We offer medical, dental, and vision insurance for you and your dependents. Plus, free access to counseling and mental health services

Get up to 16 weeks of fully-paid parental leave when you grow your family and bring a new child into your life

We 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 work

Take paid time off when you need it. We have time off policies that promote flexibility so you can tailor your work schedule when life calls

Our 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 two

Employees earn company stock,



so you can own what we build together and share in our success

Experience

Experience working with B2B products involving platforms, data, APIs, integrations, infrastructure, or complex enterprise workflows

Demonstrated experience taking technically complex enterprise products, platforms, or customer deployments from discovery and scoping through production launch and adoption

Strong technical fluency and the ability to reason about enterprise software architecture, data and integrations, cloud environments, security, privacy, and software delivery

Excellent product judgment with the ability to convert ambiguous problems into clear requirements, prioritized roadmaps, and measurable outcomes

Financial and commercial acumen, including experience evaluating business cases, effort versus value, delivery economics, ROI, and the implications of scope and prioritization decisions

Solid understanding of AI- and LLM-enabled products, including where these technologies create value, their limitations, and the considerations involved in deploying them in enterprise workflows

Willingness to collaborate across global time zones and travel periodically for customer discovery, delivery, and executive engagements

Strong program and delivery management skills, including managing multiple workstreams, dependencies, risks, changing scope, and executive-level communication

Hands-on prototyping experience with AI-assisted or low-code development tools such as Claude, Cursor, Lovable, Retool, or similar platforms

Ability to operate effectively in ambiguity, influence cross-functional teams without formal authority, and communicate equally well with executives, product teams, and engineers

Robust customer-facing experience working directly with senior business leaders, technical stakeholders, and executive sponsors

8+ years of relevant experience across B2B product management, enterprise software, technical consulting, solutions delivery, or related roles, with clear ownership of product or customer outcomes

Experience deploying AI, machine-learning, LLM, RAG, or agentic solutions into production enterprise environments

Familiarity with AI evaluation, guardrails, human-in-the-loop workflows, observability, model performance, and responsible-AI practices

Experience working in education technology, workforce transformation, talent intelligence, skills, learning platforms, or other enterprise environments involving complex stakeholder and data ecosystems

Experience delivering products or programs across multiple regions, industries, or regulatory environments

📌 Senior Product Manager (Applied AI) (Montreal)
🏢 Coursera
📍 Montreal