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 @ 5
API
Communication @ 3
GitHub
Go
LLM
Product Management @ 5
ServiceNow
- 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
About Glean
Glean is the Work AI platform that helps everyone work smarter with AI. What began as enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business.
At its core, Glean is redefining how enterprises find, use, and act on knowledge through an Enterprise Graph and Personal Knowledge Graph, delivering personalized, context-aware responses. This foundation powers agentic capabilities—AI agents that automate real work across teams by accessing enterprise and world data (structured and unstructured, historical and real-time).
Glean’s work is deeply embedded in tools people use daily, including Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and others.
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 the product strategy reflects enterprise realities.
- 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 specifying how opportunities should work in practice, including concrete workflows, UI behavior, and adoption paths.
Requirements
- 5+ years of experience in product management, owning and shipping meaningful product areas in B2B SaaS, enterprise software, AI products, analytics products, or workflow/intelligence platforms.
- Strong product sense for translating complex, ambiguous problems into clear product experiences; comfortable moving between strategy and detailed execution.
- Deep interest in AI and enterprise software; excited by combining context, workflows, analytics, and proactive intelligence.
- Strong technical fluency; comfortable partnering with engineering and data teams on systems involving structured and unstructured data, knowledge graphs, retrieval, or intelligence layers.
- Ability to demonstrate granular product thinking, including workflow experience, interaction model, and sequencing capabilities for customer adoption.
- Comfortable operating in highly ambiguous spaces; can create clarity, momentum, and alignment even when the product area is still emerging.
- Excellent written and verbal communication.
- Proven track record of taking ownership, initiative, and delivering results.
- Ability to collaborate effectively with cross-functional partners.
- Learning and growth mindset.
- Mission-first mindset; success measured by product and team success.
- Early adopter building with or adopting AI for product craft; excited to help customers accelerate their AI adoption journey.
Compensation & Benefits
- Standard base salary range: $170,000 - $250,000 annually (compensation determined by location, level, and relevant knowledge, skills, and experience). Certain roles may be eligible for variable compensation, equity, and benefits.
- Comprehensive benefits package: Medical, Vision, Dental, generous time-off policy, and opportunity to contribute to a 401k plan.
- Home office improvement stipend, plus annual education and wellness stipends.
- Regular events for company culture and healthy lunches daily.
AI-First Mindset at Glean
- AI fluency is core to how they work.
- 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 in the role (prior Glean experience isn’t required).