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
API @ 3
Communication @ 3
Go
LLM @ 3
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 strategic and execution-oriented Product Manager to define and build its emerging Enterprise Intelligence product area. The role sits at the intersection of AI, enterprise workflows, analytics, and product strategy, helping turn Glean's enterprise context layer into proactive intelligence products for leaders and teams.
Glean's Work AI platform includes enterprise search, an AI Assistant, scalable AI agents, more than 100 enterprise SaaS connectors, flexible LLM choice, robust APIs, Enterprise Graph and Personal Knowledge Graph capabilities, and support for structured and unstructured data. The Enterprise Intelligence team will develop products that provide proactive insights, organizational visibility, process understanding, and cross-functional decision support.
Responsibilities
- Define and drive the Enterprise Intelligence product strategy and roadmap.
- Translate company vision into specific product bets, user 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 actionable workflows, dashboards, recommendations, and proactive experiences using Glean's enterprise context layer, graph, and connected system intelligence.
- 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, 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 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 and 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 experience partnering with engineering and data teams on systems involving 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 results-oriented execution.
- Effective cross-functional collaboration skills.
- Learning and growth mindset.
- Mission-first approach with a focus on product and team success.
- Early adopter of AI tools, platforms, or workflows for product development and craft.
Work Arrangement
This is a hybrid role requiring four days per week in Glean's San Francisco office.
Compensation and Benefits
- 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 contribution opportunity.
- Home office improvement stipend.
- Annual education and wellness stipends.
- Regular company events and healthy lunches daily.
Glean is committed to an inclusive and diverse workplace and does not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. The interview process includes a brief AI-focused exercise or discussion.