Staff AI Product Manager - Agentic Systems

Coursera

Dublin

On-site

EUR 120,000 - 170,000

Full time

2 days ago
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Job summary

Coursera leads the vision for an agentic AI capability at the core of a new AI-first product line. You’ll own the roadmap and shape how the system reasons, generates outcomes, and drives AI-driven experiences at scale.

Reporting to the Product Director for Growth and Experience, you’ll translate frontier problems into clear requirements, partner with data science and ML teams, and set the standard for AI-driven product excellence across the organization.

Qualifications

  • Experience designing agentic, AI-driven product systems.
  • 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.

Responsibilities

  • 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.

Skills

AI Product Strategy
AI Fluency
Product Requirements

Job description

Coursera leads the vision for an agentic AI capability at the core of a new AI-first product line. You’ll own the roadmap and shape how the system reasons, generates outcomes, and drives AI-driven experiences at scale.

Reporting to the Product Director for Growth and Experience, you’ll translate frontier problems into clear requirements, partner with data science and ML teams, and set the standard for AI-driven product excellence across the organization.

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