greenhouse
Product Manager, Enterprise Intelligence
Glean
CAN
Manager · 5+ years experience
USD 170000-250000 / year
Discovered 1 weeks ago
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- 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 our 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 not only identifying the right opportunities, but also specifying how they should work in practice, including concrete workflows, UI behavior, and adoption paths.
- 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.
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