G

Glean

AI-powered enterprise search across applications

Product Manager - Enterprise Intelligence

Product ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • 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, analytics products, or workflow/intelligence platforms.
  • 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 intelligence.
  • You have strong technical fluency and are comfortable partnering with engineering and data teams on systems involving structured and unstructured data, knowledge graphs, retrieval, or intelligence layers.
  • 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 into something customers will actually adopt.
  • You are comfortable operating in highly ambiguous spaces and can create clarity, momentum, and alignment even when the product area is still emerging.
  • You are an excellent written and verbal communicator.
  • You have a proven track record of taking ownership, taking initiative, and delivering results.
  • You collaborate effectively with cross-functional partners.
  • You have a learning and growth mindset.
  • You are mission-first and understand that your success is measured by your product and team’s success.
  • You are an early adopter in building with or adopting AI for your own product craft and are excited about helping customers accelerate their own AI adoption journey.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • Drive customer-focused prioritization and efficient execution, balancing long-term platform opportunities with urgent user pain points, strategic customer asks, and company priorities.
  • Collaborate closely with go-to-market, solutions, support, and forward-deployed teams to learn from real customer problems and ensure product strategy reflects enterprise realities, not just internal assumptions.
  • Help establish the product foundations for a new category by identifying what Enterprise Intelligence should look like at Glean across proactive insights, organizational visibility, process understanding, and cross-functional decision support.
  • Bring a high bar for product craft by identifying the right opportunities and specifying how they should work in practice, including concrete workflows, UI behavior, and adoption paths.

About the Company

Glean

AI-powered enterprise search across applications

Glean builds an AI-powered search and knowledge assistant that helps employees find information across all of a company's apps and data. Its core product is an enterprise search tool that understands natural language queries and retrieves relevant results from documents, conversations, tickets, and other sources, plus a chat assistant that can summarize and answer questions using that same information. The system uses deep learning language models that adapt to a company's own terminology and context, improving relevance without manual tuning, and it offers hosting options to align with security and data policies. Compared with competitors, Glean focuses on cross-application search, organization-specific language learning, and a combined search-and-chat experience that delivers direct answers and summaries from internal knowledge sources. Its goal is to help teams work faster by turning scattered information into easily accessible answers, reducing time spent searching.

Company size
1,001-5,000
Company stage
Series F
Total funding
$805M
Headquarters
Palo Alto, CA
Founded
2019

Recently Posted Jobs

Explore more opportunities at Glean

See more jobs