Product Operations

Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting‑edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.

Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information ing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way – an AI‑powered enterprise search platform that helps people quickly and intuitively access the information they need.

Since then, Glean has evolved into the leading Work AI platform, combining enterprise‑grade search, an AI assistant, and powerful application‑ and agent‑building capabilities to fundamentally redefine how employees work.

As Product Operations Lead, you’ll play a pivotal role in shaping and scaling the operational backbone of Glean’s product development. Reporting to the Head of Product Ops, you will be a force multiplier for our high‑growth SaaS product organization, blending strategic thinking with hands‑on execution and relentless curiosity. You thrive in navigating ambiguity, building scalable processes, and championing data‑driven decisions that deliver value for our customers and teams — and you think AI first!

• Implement and optimize scalable processes to support Glean’s growth, focused on Product and GTM.
• Own cross‑R&D, Marketing, and GTM activities, such as release notes, beta programs, PM customer meetings, and customer feature request processes.
• Build strong relationships and facilitate the flow of information between R&D and stakeholders across the business.
• Maintain and communicate updates to the product roadmap, promoting transparency and alignment across teams.
• Build stronger products and field product knowledge by partnering with enablement and by growing programs such as field specialists.

• Develop and implement scalable systems and AI automations to gather and synthesize customer, user, and field insights and ideas
• Unearth and provide cross‑product opportunities and insights based on customer feedback, field feedback, deal wins, losses, and churn, and product data, understanding which areas are gaining traction and which are stalling to recommend product decisions.
• Use AI and data analysis skills to derive actionable insights from diverse data sources.
• Champion a product‑led culture by supporting best practices and continuous improvement in product development processes.
• Develop and maintain tools (e.g., agents, templates, integrations) to automate workflows and reduce administrative burden on product managers and speed information sharing and impact.
• Collaborate with product managers and data analysts to build dashboards and metrics tracking product adoption, defect trends, and other key indicators.
• Assist with Jira configuration, dashboard creation, and workflow automation to enhance the product development lifecycle (PDLC).

• Bachelor’s or Master’s Degree in Business, Engineering, Computer Science, or related fields, or related field is a plus.
• 6-10+ years in Product Ops, Product Strategy, or PM with strong discovery and analytics skills.
• Solid understanding of product development life cycles (PDLC).
• Familiarity with AI technologies and a demonstrated interest in applying AI‑first thinking to product and operational challenges.
• Demonstrated ability to synthesize ambiguous customer/market signals into sharp product bets and measurable outcomes.
• Fluency with product analytics (e.g., funnels, retention, segmentation) and qualitative research methods.
• Exceptional communication skills (facilitation, written briefs, problem narratives, decision logs).
• Comfortable influencing execs and…