Product Manager, Enterprise Intelligence

$170k - $250k Mountain View, CA

Posted 3mo ago

Job Location

Mountain View, CA

Tech Stack

Remote Work Policy

On-site

Categories

Applied AI Engineer

About the job

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. You will help shape how Glean turns its enterprise context layer into proactive, high-value intelligence products that help leaders and teams understand what is changing, where value is being created or lost, and where to act. Glean’s company strategy emphasizes building “the trusted enterprise context and intelligence layer,” including “enterprise intelligence products” that go beyond personal productivity and turn horizontal context into leader- and department-level intelligence. You will work closely with the Product lead and cross-functional partners across engineering, design, data, go-to-market, and customer-facing teams to identify the right product bets, bring structure to an ambiguous opportunity space, and translate enterprise intelligence concepts into concrete product experiences. We’re currently a very lean product team, so you’ll have an outsized role in shaping both the product roadmap and the product team itself.

Responsibilities

  • Define and drive the product strategy and roadmap for Enterprise Intelligence, translating company vision into specific product bets, experiences, and execution plans.
  • Engage with customers, prospects, and stakeholders to understand high-value enterprise intelligence use cases, focusing on proactive, contextual insights.
  • Develop products that leverage Glean's enterprise context layer, graph, and system intelligence into actionable workflows, dashboards, recommendations, and proactive experiences for teams and leaders.

Requirements

  • 5+ years of experience in product management.
  • Deep industry overview and passion for AI.
  • Demonstrated granular product implementation skills, including designing specific user interfaces and workflows.

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