Product Manager, Enterprise Intelligence

Details

About Glean

Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced 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 - without vendor lock-in or costly implementation cycles.

At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time.

About the Role

Glean is seeking a highly strategic and execution-oriented Product Manager to help define and build our emerging Enterprise Intelligence product area. This role sits at the intersection of AI, enterprise workflows, analytics, and product strategy. You 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. You will work closely with the Product lead and cross-functional partners across engineering, design, data, go-to-market, and customer-facing teams to identify the right product bets, bring structure to an ambiguous opportunity space, and translate enterprise intelligence concepts into concrete product experiences.

This role is ideal for someone with 5+ years of experience, a deep industry overview and passion for AI, and the ability to demonstrate granular product implementation skills such as designing specific user interfaces and workflows rather than staying at a high conceptual level.

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 our 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.
• Specify concrete workflows, UI behavior, and adoption paths to ensure strong product craft and real-world adoption.

Requirements

• 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.
• 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 to shape products that combine context, workflows, analytics, and proactive intelligence.
• Strong technical fluency and 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 user workflows, interaction models, and sequencing capabilities to drive adoption.
• Comfortable operating in highly ambiguous spaces and able to create clarity, momentum, and alignment as the product area emerges.
• Excellent written and verbal communication skills, ownership mentality, strong cross-functional collaboration, and a learning and growth mindset.

Location

This role is hybrid (4 days a week in our San Francisco office).

Compensation & Benefits

The standard base salary range for this position is $170,000 - $250,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including Medical, Vision, and Dental coverage, generous time-off policy, opportunity to contribute to a 401(k) plan, a home office improvement stipend, and annual education and wellness stipends. The company provides regular events and daily healthy lunches.

AI-First Mindset at Glean

AI fluency is core to how Glean works. As part of the interview process, candidates complete a brief AI-focused exercise or discussion to demonstrate how they think about, design, and use AI to drive impact in their role.

Global Data Privacy Notice for Job Candidates and Applicants

Depending on location, GDPR, CCPA, or other privacy laws may regulate how applicant data is managed. The full notice is available in Glean's Privacy Policy. US applicants are subject to arbitration as outlined in the Applicant Arbitration Agreement.