Full-Time
Product Manager
Growth
Glean
1,001-5,000 employees
AI-powered enterprise search across applications
Compensation Overview
$175k - $280k/yr
San Francisco, CA, USA
Hybrid
Hybrid role; 4 days in SF office.
 Product |
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- You have 5+ years of experience in product management, with a track record of owning and shipping growth, activation, or PLG product areas in B2B SaaS, consumer, AI, or platform products.
- You are deeply fluent in growth mechanics—funnels, activation, retention, virality, and lifecycle—and you let data and experimentation guide your decisions, with the analytical fluency to define metrics, instrument funnels, and interpret results alongside engineering and data teams.
- You have strong product sense and granular product thinking, comfortable moving between strategy and detailed execution and specifying how a user should experience onboarding and adoption.
- You have a deep interest in AI and enterprise software, and you thrive in ambiguous spaces, creating clarity, momentum, and alignment even when the product area is still emerging.
- You are an excellent communicator, take ownership and initiative, collaborate effectively with cross-functional partners, and bring a learning and growth mindset.
- You are mission-first, measure your success by your product and team's success, and are an early adopter of AI for your own craft who's excited to help customers accelerate their AI adoption journey.
- Help define and drive the product strategy and roadmap for Growth, translating broad company vision into specific bets across activation, retention, and expansion, informed by funnel data, experimentation, and customer behavior.
- Own the PLG motion end to end — from acquisition and onboarding through activation, habit formation, and self-serve expansion — and design the loops that turn individual adopters into team- and org-wide usage.
- Build platform-level growth capabilities such as referrals, invitations, notifications, in-product education, and lifecycle messaging that compound across surfaces rather than living in a single feature.
- Drive off-surface growth by meeting users where they already work — the browser extension, email, Slack and Teams, mobile, and other entry points — so Glean stays present and valuable outside of a single destination app.
- Partner deeply with engineering, design, and data teams to turn ambiguous concepts into well-scoped products and experiments, with clear user flows, interaction patterns, instrumentation, quality standards, and measurable outcomes.
- Build a rigorous experimentation and measurement culture, defining the activation and retention metrics that matter, instrumenting the funnel, and running A/B tests to learn fast and ship what moves the numbers.
- 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, marketing, solutions, and support teams to learn from real customer problems and ensure our growth strategy reflects how users actually adopt and spread Glean.
- 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 onboarding flows, UI behavior, and adoption paths.
Glean builds an AI-powered search and knowledge assistant that helps employees find information across all of a company’s apps and data. Its core product is an enterprise search tool that understands natural language queries and retrieves relevant results from documents, conversations, tickets, and other sources, plus a chat assistant that can summarize and answer questions using that same information. The system uses deep learning language models that adapt to a company’s own terminology and context, improving relevance without manual tuning, and it offers hosting options to align with security and data policies. Compared with competitors, Glean focuses on cross-application search, organization-specific language learning, and a combined search-and-chat experience that delivers direct answers and summaries from internal knowledge sources. Its goal is to help teams work faster by turning scattered information into easily accessible answers, reducing time spent searching.
Company Size
1,001-5,000
Company Stage
Series F
Total Funding
$805M
Headquarters
Palo Alto, California
Founded
2019
Get referred to Glean
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Simplify's Take
What believers are saying
- Crayon integration boosts sales win rates by embedding competitive intelligence in live deal workflows.
- TinyFish partnership cuts token usage by 90% while enabling live-web agent actions.
- CB Insights integration eliminates tool-switching for financial services teams accessing private company data.
What critics are saying
- NVIDIA Nemotron 3 Ultra adoption erodes consumption margins by shifting routine work to cheaper open models.
- Third-party data integrations let Microsoft or Salesforce embed same intelligence natively, bypassing Glean as thin UI.
- AI agents executing SaaS workflows without approval trigger SEC audit failures, forcing costly oversight layers and churn.
What makes Glean unique
- Glean uses an Enterprise Graph to deliver personalized, context-aware search across 100+ apps.
- Its AI assistant is grounded in internal company data, not generic public internet sources.
- Glean Agents automate workflows via natural language without requiring developer-coded automation.
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Benefits
Healthcare - Happy and healthy go together. We cover medical, dental, and vision for you and yours.
Competitive compensation - Have a real stake in your job and your future with competitive stock options.
401(k) - We make it easy to save for the future today by contributing to a 401k.
Flexible work - We work 3 days a week in the office, though we believe in folks working where they can be most effective.
Company events - We work hard and play hard - from weekly happy hours to our annual company retreat.
Unlimited PTO - Flexible hours, PTO, company-wide summer and winter break shutdown
Transparent culture - By default we keep things open and accessible so we can make better decisions together, faster.
Learning and development - We offer a learning stipend to help you grow and achieve your goals.
Free meals - With lunch and dinner options every day, no need to work while you’re hungry.
Growth & Insights and Company News
6 month growth
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↑ 1%2 year growth
↑ 2%The $75K employee just became a $90K decision. The most interesting people strategy comment I saw this week wasn't about layoffs. It was about AI costs. At the Axios AI+NY Summit, Glean CEO Arvind Jain made the point that AI usage costs are rising quickly enough that companies may need to factor them into hiring decisions. That's a massive shift. And most consulting firm founders haven't thought about what it means for their business. The simple math that's about to get complicated. For founders of consulting and professional services firms, the people equation has always been straightforward: How many people do Wattsnextpx LLC has? How many hours can they bill? What margin do they create? But AI changes that equation completely. A person is no longer just a salary line item. They're a salary line plus tools, systems, AI usage costs, data access, and management overhead. Which means the question is no longer: "Can we afford another $75K person?" It's: "What return will this $90K person create with all the technology and support around them?" Where most firms will get this wrong. This is where I think many founder-led consulting firms are about to get caught. They'll add AI tools and expect productivity to magically improve. They'll tell people to "use ChatGPT" without redesigning how work gets done. They'll keep measuring utilization as if every billable hour is still equal. Here's what's going to surprise them: AI doesn't automatically increase Return on Person. In some firms, it may actually reduce it. More AI subscriptions. More complexity. Same client output. You end up spending more per person while getting the same results. The questions that actually matter. The firms that win will ask completely different questions: Where does human judgment actually matter? Not where Wattsnextpx LLC has always put humans, but where human thinking genuinely adds value AI can't replicate. Which roles become more valuable? The positions that can now produce dramatically more because AI handles grunt work. Which roles need complete redesign? The jobs built around tasks AI now does better and faster. Which people create real leverage? Not just staying busy, but actually multiplying the value of every tool around them. The real opportunity. The opportunity isn't to replace people with AI. It's to build a firm where every person becomes dramatically more valuable because the work has been redesigned properly. Instead of a $75K person doing $75K worth of work, you have a $90K person doing $200K worth of work. This requires completely rethinking how work gets done. Not just "adding AI" to existing processes, but mapping every role to understand where humans add unique value and where AI takes over completely. The bottom line. The consulting firms that dominate the next decade won't be the ones with the most AI tools. They'll be the ones where every person is a force multiplier - where humans and AI are designed to work together, not compete for the same tasks. That's the people strategy conversation founders need to be having right now. Not "How do we cut costs with AI?" but "How do we redesign everything so our people become exponentially more valuable?" P.S. - If you're still thinking about AI as a tool to make existing processes faster, you're missing the bigger opportunity. The real leverage comes from redesigning the work entirely. That's where Return on Person actually multiplies, instead of just adding costs. Last Updated June 10, 2026 Get insights like these in your inbox Leadership frameworks and strategies for scaling professional services firms. No spam, just substance.
Mantel and Glean partner to deliver Work AI in Australia and New Zealand. Mantel | Published 25 May 2026 Strategic partnership combines Mantel's AI, data, and cloud implementation expertise with Glean's Work AI platform to help ANZ organisations move from AI experimentation to production Mantel, a leading Australian AI and technology consultancy, and enterprise Work AI leader Glean today announced a strategic partnership to help organisations across Australia and New Zealand unlock the full value of their data with secure, enterprise-grade AI. Through the partnership, Mantel will bring Glean's Work AI platform to customers across key industries, including financial services, energy and utilities, and the public sector. Mantel will provide advisory, deployment, scaling, and ongoing operational support to help joint customers connect AI to the systems, knowledge, and workflows where work already happens. Zubin Irani, VP of Partnerships at Glean As enterprises move beyond early AI pilots, many are looking for practical ways to turn existing investments in cloud, data and productivity platforms into measurable business outcomes. Together, Mantel and Glean will help customers deploy AI assistants and agents that are grounded in enterprise context, respect existing permissions, and operate securely across complex technology environments. The Mantel team is also using Glean internally, connecting knowledge from documents, code repositories, and ticketing systems. This internal use gives Mantel deep, hands-on experience with Glean and a foundation for repeatable AI agents, workflows, and solutions for clients. Mantel has been selected as a strategic partner for Glean in ANZ, with a joint focus on large enterprise customers and sectors where Mantel has deep practices across Snowflake, Databricks, AWS, Google Cloud, and other core enterprise platforms. "Our customers are asking how to turn AI potential into practical business results on top of the data platforms and cloud foundations they have already invested in," said Emma Bromet, Partner - Data & AI at Mantel. "Glean gives us a secure, enterprise-ready Work AI layer that can sit across Snowflake, Databricks, AWS, Google Cloud and the rest of the application landscape, so knowledge workers can ask questions in natural language, discover how we do things here, and automate workflows with confidence. By adopting Glean ourselves and building agents for our practices, we can take a very pragmatic story to market with our clients." "Enterprises are ready to move beyond AI pilots, but getting to production takes the right platform and the right implementation partner," said Zubin Irani, VP of Partnerships at Glean. "Mantel brings deep data, AI, and cloud expertise, and together we can help organizations across Australia and New Zealand deploy Work AI securely, quickly, and with measurable business impact." The partnership follows Glean's broader expansion into Australia and New Zealand and will include joint customer events, enablement for Mantel teams, and co-marketing activities across the region. About Mantel: AI and technology consultancy Pioneering AI-first solutions, Mantel is an award-winning, next-gen technology consultancy that blends brilliant thinking with expert engineering. Headquartered in Melbourne, with 850+ experts transforming businesses through AI, data, digital, cyber security and cloud expertise from strategy through to implementation, and managed services. Mantel works with major technology providers like AWS, Google Cloud, Azure, Databricks and Snowflake to deliver outcome focussed solutions and has been named among the best tech workplaces in Australia by Great Place to Work for multiple years in a row. Visit us at mantelgroup.com.au for more information. About Glean: The Work AI platform Glean is the Work AI platform that helps everyone work smarter with AI. Glean Assistant gives every employee a powerful enterprise AI assistant that connects to and understands company data via Glean's Enterprise Graph, and Glean Agents empowers everyone to create, use, and manage AI agents using natural language. Powered by Glean's search and agentic engine, Glean's agents automate work across the organization at scale, while ensuring permissions enforcement, full referenceability, governance, and security. With over 100 connectors, LLM choice, APIs for customization, and no need for costly professional services, Glean delivers scalable, turnkey implementation of a complex AI ecosystem on one horizontal platform.
Securing AI as Enterprises move beyond experimentation. Glean's Sunil Agrawal and Palo Alto's Michael Sikorski on AI Deployment Risks Tom Field (SecurityEditor) - March 27, 2026 Enterprises moving from artificial intelligence experimentation to broad deployment face a familiar and preventable failure: treating security as an afterthought. As AI agents proliferate across business workflows, gaps in identity management, data governance and runtime monitoring are creating new attack surfaces, attackers are exploiting them. "There's a whole new slew of attack vectors that are coming up: prompt injection, jailbreaking, data poisoning. All those terms didn't exist before generative AI," said Sunil Agrawal, CISO at Glean. "People moved to the cloud. They didn't think through security in the right way. And then it became really difficult and challenging, and we're still dealing with that. And now, all of a sudden, AI is on top of it," said Michael Sikorski, CTO and vice president of engineering at Palo Alto Network's Unit 42. In this video interview with Information Security Media Group at RSAC Conference 2026, Agrawal and Sikorski also discussed: * Why identity management and declared guardrails are foundational to safe agent deployment; * How the Glean and Palo Alto Networks integration enforces least-privilege data access, runtime security and incident response readiness; * Resources for security threat modeling, including the AWARE framework and Unit 42's latest incident response report. Agrawal is responsible for the overall security of Glean's products, infrastructure and corporate environment. With more than 20 years of experience, he has held security leadership roles at Bolt, Nutanix, Netflix and Adobe. Sikorski leads the engineering, product and threat intelligence teams at Palo Alto Networks' Unit 42. He has more than 25 years of cybersecurity experience, most of which involved responding to high-profile incidents and leading high-performing teams.
Logic Pursuits announces strategic consulting partnership with Glean to guide Enterprise AI transformation. CHICAGO, March 17, 2026 (GLOBE NEWSWIRE) - Logic Pursuits, a global Data and AI consulting firm, formed a strategic partnership with Work AI leader Glean in February to help enterprises accelerate secure, scalable, and business-aligned AI adoption. Under this partnership, Logic Pursuits will serve as a Consulting Partner, acting as strategic advisors guiding successful AI transformation initiatives powered by Glean's AI-driven enterprise search, assistant, and agents. Together, the companies will help organizations move beyond AI experimentation toward structured, measurable, and enterprise-ready deployments. As enterprises face fragmented knowledge systems, siloed data, and increasing pressure to operationalize AI responsibly, Glean provides a secure context layer that connects and activates enterprise knowledge across more than 100 of the most widely used SaaS applications. Logic Pursuits will guide customers through AI strategy development, architecture design, governance frameworks, implementation, and change enablement to ensure sustainable adoption and long-term business impact. Executive Perspectives "Glean enables enterprises to deploy a high-quality AI system that delivers meaningful results and real business value in a seamless, accelerated manner", said Santosh Abraham, Head of Business Growth and Strategy at Logic Pursuits. "As a Consulting Partner, Logic Pursuits is privileged to work alongside Glean to help organizations define clear AI strategies, implement secure architectures, and drive enterprise-wide adoption that translates into measurable productivity gains". "Enterprise AI adoption is entering a more disciplined phase - organizations are no longer experimenting, they're operationalizing," said Zubin Irani, Vice President of Partnerships at Glean. "That requires both a secure system of context that enables AI to operate across the enterprise and the strategic expertise to align deployment with business priorities and governance frameworks. By partnering with Logic Pursuits, we're bringing those elements together to help enterprises move from ambition to accountable, production-ready AI." "Our partnership brings Glean's AI-powered search, assistant, and agent capabilities to organizations of all sizes, enabling them to harness the full breadth of enterprise data to solve real business problems and enhance productivity", said Ronak Shah, EVP and Global Head of Service Delivery at Logic Pursuits. "As strategic advisors, we ensure Glean's Work AI platform is implemented within a secure, governed, and scalable enterprise architecture, enabling agentic workflows that drive productivity and innovation at scale". The partnership strengthens Logic Pursuits' expanding enterprise AI advisory and delivery capabilities, including Agentic AI strategy, Enterprise AI deployment and operationalization, Customer 360 enablement, and modern data platform transformation. By integrating Glean's Work AI platform into broader enterprise data ecosystems, Logic Pursuits will help organizations deploy intelligent assistants and agentic workflows supported by robust security, governance, and compliance controls. Enterprise AI adoption is rapidly shifting from pilots to production environments. Organizations are seeking partners that can align AI investments with business priorities, risk frameworks, and operational readiness. As a Consulting Partner to Glean, Logic Pursuits will provide the strategic oversight and execution discipline required to operationalize AI responsibly and effectively. With delivery teams across the United States, India, and LATAM, Logic Pursuits will support enterprises across industries in deploying Glean to improve knowledge access, decision-making, cross-functional collaboration, and productivity. About Logic Pursuits Logic Pursuits is a global Data and AI consulting firm serving as strategic advisors to enterprises navigating digital and AI transformation. The firm specializes in Enterprise Data Strategy, Modern Data Platforms, Customer 360 and CDP Enablement, Digital Engineering, and Agentic AI solutions. Logic Pursuits partners with organizations to design and operationalize secure, scalable AI ecosystems that deliver measurable business value. Media contact: Ankita Sharma ([email protected]) Disclaimer: The above press release comes to you under an arrangement with GlobeNewswire. TheTechOutlook.com takes no editorial responsibility for the same.
Aryn, an AI startup focused on helping enterprises answer questions from unstructured data, has been acquired by Glean. The company was founded before ChatGPT's launch and worked to apply AI to enterprise data challenges. Aryn's CEO cited alignment with Glean's mission to enable extraordinary work and the opportunity to accelerate impact as reasons for the acquisition. The company thanked customers including Novacore and DataRobot, and investors Factory, 8VC, Amarjit Gill and Lip-Bu Tan. Aryn will sunset its cloud service on 15 April 2026, though its Sycamore open source project will remain available under Apache License v2.0. The team is joining Glean to work on a larger mission whilst maintaining their core focus on enterprise data solutions.