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Product Manager, Enterprise Intelligence
Job Location:
Job Location:
Mountain View, CA - USA
Yearly Salary:
$ 170000 - 250000
Yearly Salary:
Posted:
6 June 2026 (30+ days ago)
Posted:
Application Deadline:
7 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
About Glean:
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industrys 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 Gleans agentic capabilities - AI agents that automate real work across teams by accessing the industrys broadest range of data: enterprise and world structured and unstructured historical and real-time. The result: measurable business impact through faster onboarding hours of productivity gained each week and smarter safer decisions at every level.
Recognized by Fast Company as one of the Worlds Most Innovative Companies (Top 10 2025) by CNBCs Disruptor 50 Bloombergs AI Startups to Watch (2026) Forbes AI 50 and Gartners Tech Innovators in Agentic AI Glean continues to accelerate its global impact. With customers across 50 industries and 1000 employees in more than 25 countries were helping the worlds largest organizations make every employee AI-fluent and turning the superintelligent enterprise from concept into reality.
If youre excited to shape how the world works youll help build systems used daily across Microsoft Teams Zoom ServiceNow Zendesk GitHub and many more - deeply embedded where people get things done. Youll ship agentic capabilities on an open extensible stack with the craft and care required for enterprise trust as we bring Work AI to every employee in every company.
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. Gleans company strategy emphasizes building the trusted enterprise context and intelligence layer including enterprise intelligence products that go beyond personal productivity and turn horizontal context into leader- and department-level intelligence.
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. Were currently a very lean product team so youll have an outsized role in shaping both the product roadmap and the product team itself. 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.
You will:
- 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 Gleans 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 not just internal assumptions.
- 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 not only identifying the right opportunities but also specifying how they should work in practice including concrete workflows UI behavior and adoption paths.
About you:
- You have 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.
- You have a strong product sense for translating complex ambiguous problems into clear product experiences and you are comfortable moving between strategy and detailed execution.
- You have a deep interest in AI and enterprise software and you are excited by the opportunity to shape products that combine context workflows analytics and proactive intelligence.
- You have strong technical fluency and are comfortable partnering with engineering and data teams on systems involving structured and unstructured data knowledge graphs retrieval or intelligence layers.
- You can demonstrate granular product thinking including how a user should experience a workflow what the right interaction model is and how to sequence product capabilities into something customers will actually adopt.
- You are comfortable operating in highly ambiguous spaces and can create clarity momentum and alignment even when the product area is still emerging.
- You are an excellent written and verbal communicator.
- You have a proven track record of taking ownership taking initiative and delivering results.
- You collaborate effectively with cross-functional partners.
- You have a learning and growth mindset.
- You are mission-first and understand that your success is measured by your product and teams success.
- You are an early adopter in building with or adopting AI for your own product craft and you are excited about helping customers accelerate their own AI adoption journey.
Location:
- This role is hybrid (4 days a week in our Mountain View office)
Compensation & Benefits:
The standard base salary range for this position is $170000 - $250000 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 competitive compensation Medical Vision and Dental coverage generous time-off policy and the opportunity to contribute to your 401k plan to support your long-term goals. When you join youll receive a home office improvement stipend as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events and provide healthy lunches daily to keep you fueled and focused.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. Were committed to an inclusive and diverse company. We do not discriminate based on gender ethnicity sexual orientation religion civil or family status age disability or race.
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AI-First Mindset at Glean:
At Glean AI fluency is core to how we work and were committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process youll complete a brief AI-focused exercise or discussion so we can understand how you think about design and use AI to drive impact in your role. Feel free to reference any tools platforms or workflows you use today prior Glean experience isnt required.
Global Data Privacy Notice for Job Candidates and Applicants:
Depending on your location the General Data Protection Regulation (GDPR) California Consumer Privacy Act (CCPA) or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our . By submitting your application you are agreeing to our use and processing of your data as applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.
By clicking Submit Application I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement and I agree to the terms.
Required Experience:
IC
About Company
Glean was created to deliver healthy and fresh foods - made directly from fruits and vegetables - into your hands! Sweet Potato Flour & Pumpkin Flour now available. Our team is made up of a handful of passionate people who have worked in food and agriculture most of their careers - ... View more
