About Coursera + Udemy
Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world's most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our blog.

Why join us now?
AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.

Shape what comes next
By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.

Job Overview
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 explicit 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.

What You’ll Do
Own Customer Discovery and Product Strategy

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.

Lead End-to-End Customer Deployment





Translate customer objectives into a clear 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.

Partner on Technical Solution Design and Deployment

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.

Own Business Value and Create Product Leverage

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.

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📌 Senior Product Manager, Applied AI (Alberta)
🏢 Coursera
📍 Alberta