Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
Communication @ 3
Go
Product Management @ 5
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Glean is seeking a highly strategic and execution-oriented Product Manager to help define and build its emerging Enterprise Intelligence product area. This role sits at the intersection of AI, enterprise workflows, analytics, and product strategy. The position 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.
The Product Manager will work closely with product leadership and cross-functional partners across engineering, design, data, go-to-market, and customer-facing teams. The role involves identifying product opportunities, structuring an ambiguous problem space, and translating enterprise intelligence concepts into concrete product experiences. The product team is lean, giving this role significant influence over the roadmap and the team itself.
Responsibilities
- Define and drive the product strategy and roadmap for Enterprise Intelligence.
- Translate company vision into specific product bets, experiences, and execution plans informed by customer needs and market signals.
- Engage with customers, prospects, and internal stakeholders to understand high-value enterprise intelligence use cases.
- Build products that turn Glean's enterprise context layer, graph, and connected system intelligence into actionable workflows, dashboards, recommendations, and proactive experiences.
- Partner 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 while balancing platform opportunities, user pain points, strategic customer requests, and company priorities.
- Collaborate with go-to-market, solutions, support, and forward-deployed teams to incorporate real customer problems into product strategy.
- Establish product foundations for Enterprise Intelligence across proactive insights, organizational visibility, process understanding, and cross-functional decision support.
- Specify concrete workflows, UI behavior, interaction models, and adoption paths.
Requirements
- 5+ years of product management experience.
- 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 and ability to translate complex, ambiguous problems into clear product experiences.
- Deep interest in AI and enterprise software.
- Strong technical fluency and comfort partnering with engineering and data teams on structured and unstructured data, knowledge graphs, retrieval, or intelligence layers.
- Ability to demonstrate detailed product thinking, including user workflows, interaction models, and sequencing of product capabilities.
- Comfort operating in ambiguous, emerging product areas and creating clarity, momentum, and alignment.
- Excellent written and verbal communication skills.
- Proven ownership, initiative, and ability to deliver results.
- Effective cross-functional collaboration skills.
- Learning and growth mindset.
- Mission-first approach with a focus on product and team success.
- Experience building with or adopting AI for product work and enthusiasm for helping customers accelerate AI adoption.
Location
- Hybrid role requiring four days per week in Glean's San Francisco office.
Compensation And Benefits
- Standard base salary: $170,000–$250,000 annually.
- Certain roles may be eligible for variable compensation, equity, and benefits.
- Medical, vision, and dental coverage.
- Generous time-off policy.
- 401(k) plan.
- Home office improvement stipend.
- Annual education and wellness stipends.
- Regular company events and healthy lunches daily.
- Inclusive and diverse company culture.
As part of the interview process, candidates will complete a brief AI-focused exercise or discussion about how they think about, design, and use AI to drive impact. Prior Glean experience is not required.