Product Manager, Core Experience

Glean Glean · Enterprise · San Francisco, CA · Product

Product Manager for Glean's Core Experience, focusing on the user-facing surfaces of the Work AI platform. This role involves defining strategy and roadmap for areas like Homepage, Mobile, Desktop, and Browser Extension, ensuring a seamless, consumer-grade user journey across all touchpoints. The PM will drive growth, engagement, and experimentation, working closely with engineering, design, and data teams to translate vision into shippable experiences and shape the product team itself.

What you'd actually do

  1. Help define and drive the product strategy and roadmap for Core Experience, translating broad company vision into specific product bets, experiences, and execution plans informed by customer needs, usage data, and market signals.
  2. Own the end-to-end quality of Glean's core surfaces — Homepage, Mobile, Desktop, Extension, and SDK, plus the app shell, navigation, and settings — driving a single, consistent, consumer-grade product journey across every touchpoint.
  3. Partner exceptionally closely with the Search and Chat teams, to influence their roadmaps and ensure they integrate seamlessly into a cohesive end-to-end user journey.
  4. Spend significant time with users, customers, and internal stakeholders to understand how people start and complete work in Glean, and where friction, drop-off, or fragmentation is costing engagement and retention.
  5. Drive growth, engagement, virality, collaboration, and session depth as first-class outcomes, partnering with growth and data teams on activation, onboarding, and retention across entry points.

Skills

Required

  • 8+ years of experience
  • deep industry overview and passion for AI
  • granular product implementation skills
  • designing specific user interfaces and workflows
  • strategic and execution-oriented product management
  • cross-functional collaboration (engineering, design, data, growth, go-to-market, customer-facing)
  • customer needs analysis
  • usage data analysis
  • market signals analysis
  • rapid experimentation (A/B tests, instrumentation, qualitative research)
  • data-driven product decisions
  • customer-focused prioritization
  • efficient execution
  • balancing long-term platform opportunities with urgent user pain points
  • understanding enterprise realities

Nice to have

  • experience with AI
  • experience with AI agents
  • experience with enterprise search
  • experience with chat-first experiences
  • experience with mobile, desktop, browser extension, SDK product surfaces

What the JD emphasized

  • consumer-grade experiences
  • consumer-grade product journey
  • consumer-grade

Other signals

  • Work AI platform
  • AI Assistant
  • AI agents
  • Enterprise Graph
  • Personal Knowledge Graph
  • agentic capabilities
  • chat-first experience
  • AI-fluent