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 Agents is the platform enterprises use to build, run, and govern AI agents that do real work across departments—including IT, HR, engineering, support, sales, legal, and finance. Agents on Glean already run millions of times a week for customers such as Zillow, Ericsson, and Motive. The hardest part of an enterprise agent is not the model: it is context and trust—knowing what is true inside a company, who is allowed to see it, and what an agent is allowed to do. Glean’s Enterprise Graph and Personal Knowledge Graph provide permission-aware context across more than 100 enterprise apps, so teams can build on that foundation rather than recreate it. This is a senior role on a lean, growing product team. You’ll own a meaningful part of the Agents platform, work directly with customers and Glean leadership, and help set direction for your area. Unlike roles focused on a single department, this role spans the enterprise, with product decisions reaching millions of agent runs each week. You will own one of these problem spaces: - Building and quality: How business users and engineers create, test, and improve agents, including evaluations, trace debugging, versioning, and regression gates. - Capabilities: The actions, tools, skills, triggers, and sandboxed execution that let agents read and act in systems such as Salesforce, Jira, ServiceNow, and Workday, as well as open protocols such as MCP and A2A. - Governance and identity: Agent identity and service credentials, access policies, agent scanning, human approvals, usage and cost controls, and audit capabilities that help enterprises deploy agents in production. - Channels: Where agents work alongside people—including Slack, Microsoft Teams, email, and Glean Assistant—with support for agents that respond in team channels as well as direct messages. - Independent agents: AI coworkers that own workflows end to end, act on schedules and triggers, and bring in a person when a decision requires one. You will: - Own a problem space end to end—from understanding the customer problem to shipping a capability and driving adoption. You’ll be measured on outcomes, including agents in production and the work they take over, not simply features shipped. - Co-build with customers. Work alongside IT, legal, or support teams to build agents, find where they break, and turn the learnings into platform capabilities that work across customers. - Define what good looks like by writing evaluations, reading traces, investigating failures, and deciding when an agent or capability is ready to ship. Shipping is the midpoint, not the finish. - Design for production from day one, planning for versioning and rollback, observability, least-privilege access, failure handling, approvals, and cost per run. - Make hard tradeoffs explicit, balancing determinism with reasoning, autonomy with control, and latency with depth. Decide what Glean should build natively and what it should open up through MCP, A2A, and APIs. - Build with the product every day: use Glean Agents and competing platforms, and prototype agents before writing PRDs. - Scale what works by partnering with engineering, design, sales, solutions, and partners to take capabilities from a design partner to hundreds of customers. - Help build the team by shaping how Glean’s growing Agents product and engineering team in Bangalore works. About you: - 6+ years of product management experience on technical B2B, platform, or developer-facing products. Equivalent experience as a founder, engineer, or forward-deployed engineer also counts. - Hands-on experience building agents, including tool use, planning and reasoning loops, memory, multi-agent orchestration, MCP, evaluations, and debugging from traces. Agents built at work, at a startup, or as side projects all count; be ready to discuss what you built and what broke. - Production instincts: you have shipped systems people depend on and think naturally about reliability, observability, permissions, and cost. - Fluency with enterprise customers, from the operations lead automating a team’s workflow to the CIO deciding whether agents can act in production. - Design for production from day one. Plan for versioning and rollback, observability, least-privilege access, failure handling, approvals, and cost per run. - Make the hard tradeoffs explicit. Weigh determinism against reasoning, autonomy against control, and latency against depth. Decide what Glean builds natively and what it opens up through MCP, A2A, and APIs. - Build with the product every day. Dogfood Glean Agents and competing platforms, and prototype the agent before you write the PRD. - Scale what works. Partner with engineering, design, sales, solutions, and partners to take a capability from one design partner to hundreds of customers. - Help build the team. Glean is growing its Agents product and engineering team in Bangalore, and you will help shape how that team works. Location: - This role is hybrid (3 days a week in our Bangalore office) Compensation & Benefits: 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 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.

Product Manager, Agents

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