Coursera

Coursera

Senior Product Manager, Applied AI

Canada · Senior

Sponsorship not specified$164k-$205kDetected 6 days ago
Cloud PlatformsLLMsRAGProduct ManagementProduct StrategyCustomer Success

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • Read more about the combined company by visiting our blog.
  • By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.

Responsibilities

  • 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.
  • Lead End-to-End Customer Deployment
  • 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
  • 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
  • Partner with Sales, Finance, Legal, and Customer Success on scope boundaries, business cases, commercial assumptions, and material changes to customer engagements.

Requirements

  • 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.
  • Demonstrated experience taking technically complex enterprise products, platforms, or customer deployments from discovery and scoping through production launch and adoption.
  • Experience working with B2B products involving platforms, data, APIs, integrations, infrastructure, or complex enterprise workflows.
  • Excellent product judgment with the ability to convert ambiguous problems into clear requirements, prioritized roadmaps, and measurable outcomes.
  • Strong technical fluency and the ability to reason about enterprise software architecture, data and integrations, cloud environments, security, privacy, and software delivery.
  • Strong 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.
  • 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.

Nice to have

  • Familiarity with AI evaluation, guardrails, human-in-the-loop workflows, observability, model performance, and responsible-AI practices.
  • Experience delivering products or programs across multiple regions, industries, or regulatory environments.
  • Move beyond experimentation.
  • This role is accountable not only for prototypes or recommendations, but for adoption, operationalization, and measurable customer value.
  • Work on consequential problems.
  • Operate with meaningful autonomy.
  • Join a high-ownership, cross-functional team that values speed, rigorous product thinking, practical execution, and demonstrated business impact.
  • Contribute to Coursera + Udemy's mission.

Skills

  • AI is transforming how people learn, work, and grow, and the need for new skills has never been greater.

Compensation

  • Coursera offers competitive pay and fair compensation practices across all regions.
  • Job titles may span multiple career levels, and the targeted hiring base salary range for this role in Canada is $164,000 - $205,000.
  • Actual compensation will depend on factors such as experience, education, transferable skills, business needs, and location.
  • This range may be adjusted over time and may include eligibility for variable pay, equity, and comprehensive benefits.

Company info

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

Equal opportunity

  • Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace.
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This listing is sourced directly from Coursera's careers page and normalized into a canonical job model.