Level

Coursera

Staff Product Manager

Coursera is hiring a Staff Product Manager in Dublin, Ireland. Level rates it ; you can apply on Coursera.

Level's read on this job

  • Level rates this AI product manager role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include AI product.
  • Level classifies it as a lead role.
  • Level lists 24 other open roles at Coursera.
  • The role was posted in the last few days.

AI in this role

ai-product

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

To clarify, you can select and retain the appropriate tag based on the entity the job is hired for:

#LI-U 

#LI-ST5

 

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 recruiting@coursera.org. 

How we rate this

Staff Product Manager at Coursera rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI Product

Also common in AI product manager jobs at this level

Pay

Typical AI product manager job
$180k

This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs

Questions you could be asked

  1. How do you decide which parts of a product should use AI versus a fixed set of rules?
  2. Describe a typical day in a role like this one: which parts run through AI directly?
  3. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: AI Product. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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