Glean is building an emerging Enterprise Intelligence product area that turns enterprise context into proactive, high-value insights for leaders and teams. This hybrid role in the San Francisco Bay Area lets you shape a new category by partnering across engineering, design, data, and go-to-market to deliver workflows, dashboards, and intelligence experiences grounded in real customer needs. You will also collaborate with teams who bring an AI-first mindset to how they think, design, and build.
What you’ll do
- Define and drive the product strategy and roadmap for Enterprise Intelligence, translating company vision into specific product bets, experiences, and execution plans informed by customer needs and market signals.
- Spend meaningful time with customers, prospects, and internal stakeholders to understand high-value enterprise intelligence use cases, especially proactive and contextual insights (not 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.
- Partner deeply with engineering, design, and data to scope ambiguous ideas into well-defined products, including 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 and strategic requests.
- Collaborate with go-to-market, solutions, support, and forward-deployed teams to learn from real enterprise problems and keep strategy aligned with enterprise realities.
- Establish the product foundations for a new category by shaping what Enterprise Intelligence should include across proactive insights, organizational visibility, process understanding, and cross-functional decision support.
- Raise the bar for product craft by specifying how capabilities should work in practice, including concrete workflows, UI behavior, and adoption paths.
What you bring
- 5+ years of product management experience, with a 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 for turning complex, ambiguous problems into clear product experiences, comfortable moving between strategy and detailed execution.
- Deep interest in AI and enterprise software, with excitement for combining context, workflows, analytics, and proactive intelligence.
- Technical fluency to partner with engineering and data teams on systems involving structured and unstructured data, knowledge graphs, retrieval, or intelligence layers.
- Granular product thinking, including how users experience workflows, what interaction model fits, and how to sequence capabilities for adoption.
- Comfort operating in ambiguity, creating clarity and momentum as the product area emerges.
- Excellent written and verbal communication, with demonstrated ownership and results.
- Effective collaboration across functions, plus a learning and growth mindset.
- Mission-first orientation, with success measured by product and team outcomes.
- Early adopter experience with building with or adopting AI for product craft, and enthusiasm for helping customers accelerate their AI adoption journey.
Compensation and location
- Location: Hybrid, 4 days a week in the San Francisco office
- Base salary: $170,000 - $250,000 per year
- Certain roles may be eligible for variable compensation, equity, and benefits
Benefits
- Medical, Vision, and Dental coverage
- Generous time-off policy
- Opportunity to contribute to your 401k plan
- Home office improvement stipend
- Annual education and wellness stipends
- Regular company events
- Healthy lunches daily
AI-first mindset
As part of the interview process, you’ll complete a brief AI-focused exercise or discussion to understand how you think about, design, and use AI to drive impact in your role. You can reference any tools, platforms, or workflows you use today, and prior Glean experience is not required.
Privacy notice
Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate how Glean manages applicants’ data. The full notice is available in the company Privacy Policy. By submitting your application, you agree to the use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in the Applicant Arbitration Agreement.
