Product Manager, Enterprise Intelligence

Glean Work is hiring a Product Manager, Enterprise Intelligence. It pays $170k-$250k a year and Level rates it ; you can apply on Glean Work.

Level's read on this job

On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions AI agents among its tools and skills.
Level classes it as a senior role.
Glean Work has 130 other open roles on Level.

AI in this role

ai-agents

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. 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 World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll 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. Glean’s 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. We’re currently a very lean product team, so you’ll 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 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, 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 team’s 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 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 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, you'll 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. We're 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. #LI-HYBRID AI-First Mindset at Glean: At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll 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 isn't 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 Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US 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.

How we rate this

Product Manager, Enterprise Intelligence at Glean Work rates 76 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Product Manager, Enterprise Intelligence is an open job at Glean Work.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $170k-$250k a year.
The role is based in San Francisco Bay Area.
The job was posted on June 3, 2026.
Seniority: senior.
Applications are handled by Glean Work. Apply on Glean Work

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agents

Also common in AI product manager jobs at this level

Generative AI Machine learning AWS SQL Azure RAG

Pay

This job starts at: $170k
Typical AI product manager job: $180k

This posting starts 6% below the typical AI product manager job. See AI product manager jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: AI agents. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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