Product Manager, Enterprise Intelligence

Glean Glean · Enterprise · Mountain View, CA · Product

Product Manager for Enterprise Intelligence at Glean, a Work AI platform. The role focuses on defining and building AI-powered intelligence products that leverage the company's enterprise context layer and graph to provide proactive, actionable insights and workflows for leaders and teams. This involves translating broad company vision into specific product bets, understanding customer needs, partnering with engineering and design, and driving execution for a new product category.

What you'd actually do

  1. Help define and drive the product strategy and roadmap for Enterprise Intelligence, translating broad company vision into specific product bets, experiences, and execution plans informed by customer needs and market signals.
  2. Spend significant time with customers, prospects, and internal stakeholders to understand high-value enterprise intelligence use cases, especially where organizations need proactive, contextual insights rather than reactive search or chat experiences.
  3. Build products that turn Glean’s enterprise context layer, graph, and connected system intelligence into actionable workflows, dashboards, recommendations, and proactive experiences for teams and leaders.
  4. 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 measurable outcomes.
  5. Drive customer-focused prioritization and efficient execution, balancing long-term platform opportunities with urgent user pain points, strategic customer asks, and company priorities.

Skills

Required

  • 5+ years of experience in product management
  • track record of owning and shipping meaningful product areas in B2B SaaS, enterprise software, AI products, analytics products, or workflow/intelligence platforms
  • strong product sense for translating complex, ambiguous problems into clear product experiences
  • comfortable moving between strategy and detailed execution
  • deep interest in AI and enterprise software
  • ability to demonstrate granular product implementation skills such as designing specific user interfaces and workflows

Nice to have

  • strong technical fluency

What the JD emphasized

  • enterprise intelligence
  • proactive insights
  • actionable workflows
  • enterprise context layer
  • AI agents
  • agentic capabilities

Other signals

  • AI Assistant
  • AI agents
  • Work AI platform
  • Enterprise Graph
  • Personal Knowledge Graph
  • agentic capabilities
  • Enterprise Intelligence product area
  • proactive, high-value intelligence products
  • enterprise context and intelligence layer
  • proactive insights
  • organizational visibility
  • process understanding
  • cross-functional decision support