Staff Product Manager

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.

About this role:

You'll own the product vision and roadmap for a core agentic AI capability that sits at the heart of a new, visionary AI-first product line. This role shapes how the system reasons, generates, and acts on behalf of users, and you'll set the standard for what great AI-driven product experiences look like as the company scales this capability. You'll report to the Product Director for Growth and Experience, working on a foundational, high-visibility initiative that will influence how AI-first products get built across the organization.

About your skills:

AI Product Strategy Critical for designing AI-driven agentic systems and defining product vision for frontier AI capabilities.

AI Fluency Necessary to understand AI capabilities, limitations, and appropriate applications in agentic reasoning systems.

Product Requirements Critical for translating ambiguous frontier problems into clear specifications where right answers are undefined.

What you'll be doing:

Own the product vision and roadmap for a core agentic AI capability, from early concept through scaled delivery.

Define how the system reasons and generates outcomes, including the underlying logic, taxonomy, and decision models.

Translate ambiguous, frontier-style problems into clear product requirements where the right answer isn't yet known.

Partner closely with data science and ML teams to ground product decisions in real model behavior and signal.

Set the bar for what good looks like in an AI-first, agentic product, not a traditional workflow one.

Represent this capability's vision and progress to senior stakeholders.

Qualifications:

Experience designing agentic, AI-driven product systems, not just conventional workflow products.

Background in data and ML fluency, with demonstrated ability to work directly with data science on reasoning and inference design.

Experience writing product requirements for systems with undefined or emergent behavior, where the spec isn't fixed upfront.

Demonstrated history of sound judgment on taxonomy, ontology, and knowledge structure design.

Experience with requirements elicitation, able to pull real requirements out of ambiguous, fast-moving problem spaces.

8+ years of product management experience, with demonstrated staff-level scope and impact.

Posting Date: 10/20/2026

For more information about how Coursera collects and uses your personal information, please see our Coursera + Udemy Global Applicant Privacy Notice.

To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.

If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form.

Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiter contact.