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Coursera and Udemy have merged to create a unified skills platform serving 300+ million learners and 12,000+ enterprise customers. You will own the product vision and roadmap for a core agentic AI capability at the heart of a new AI-first product line. This is a foundational, high-visibility initiative that will set the standard for how AI-driven product experiences are built across the organization as the company scales this capability.
In this role, you will define how the agentic system reasons, generates, and acts on behalf of users. You'll translate ambiguous, frontier-style problems into clear product requirements where the right answer isn't yet known. You'll partner closely with data science and ML teams to ground product decisions in real model behavior and signal, and you'll represent this capability's vision and progress to senior stakeholders.
Key responsibilities include:
- 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
You'll report to the Product Director for Growth and Experience.
REQUIREMENTS:
- 8+ years of product management experience, with demonstrated staff-level scope and impact
- 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
