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Glean Posted 30+ days ago

Product Manager, Enterprise Intelligence

Location

San Francisco

Contract

Permanent

Full-time

Salary

$170–250k

Gross per year

Experience

5+ years

Mid-level level

Job summary

Responsibilities

Glean is seeking a highly strategic and execution-oriented Product Manager to help define and build our emerging Enterprise Intelligence product area. This role sits at the intersection of AI, enterprise workflows, analytics, and product strategy.

  • Help define and drive the product strategy and roadmap for Enterprise Intelligence, translating broad company vision into specific product bets, experiences, and execution plans…
  • Spend significant time with customers, prospects, and internal stakeholders to understand high-value enterprise intelligence use cases, especially where organizations need…
  • Build products that turn Glean’s enterprise context layer, graph, and connected system intelligence into actionable workflows, dashboards, recommendations, and proactive…
  • Partner deeply with engineering, design, and data teams to turn ambiguous concepts into well-scoped products, with clear user flows, interaction patterns, quality standards, and…
  • Drive customer-focused prioritization and efficient execution, balancing long-term platform opportunities with urgent user pain points, strategic customer asks, and company…

What they're looking for

  • You have 5+ years of experience in product management, with a track record of owning and shipping meaningful product areas in B2B SaaS, enterprise software, AI products…
  • You have a strong product sense for translating complex, ambiguous problems into clear product experiences, and you are comfortable moving between strategy and detailed execution.
  • You have a deep interest in AI and enterprise software, and you are excited by the opportunity to shape products that combine context, workflows, analytics, and proactive…
  • You have strong technical fluency and are comfortable partnering with engineering and data teams on systems involving structured and unstructured data, knowledge graphs…
  • You can demonstrate granular product thinking, including how a user should experience a workflow, what the right interaction model is, and how to sequence product capabilities…

Read the full job posting

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