Product Operations Lead, Glean

• Bachelor’s or Master’s Degree in Business, Engineering, Computer Science, or related fields
• Bachelor’s degree required; Master’s degree in Business, Engineering, Computer Science, or related field is a plus
• Demonstrated experience in program or project management within Enterprise B2B SaaS environments, with a track record of supporting complex technical initiatives
• Excellent communication and interpersonal skills, with the ability to facilitate cross-functional collaboration and work effectively with both technical and non-technical stakeholders
• Strong organizational and project management skills, with attention to detail and the ability to manage multiple priorities in a fast-paced environment
• Solid understanding of product development lifecycles (PDLC)
• Strong analytical skills with the ability to interpret data and provide actionable insights
• High emotional intelligence, with a collaborative approach to working with diverse teams
• Proven ability to work closely with product managers, engineers, and customer-facing teams to drive operational excellence
• Ability to translate technical concepts into clear, actionable strategies for varied audiences
• Familiarity with AI technologies and a demonstrated interest in applying AI-first thinking to product and operational challenges
• Hands-on ability to configure and automate workflows in tools like Jira is expected. Experience with SQL or similar data tools for self-serve analytics strongly preferred
• Experience with workflow automation tools (e.g., Zapier, Jira automation, or similar) to streamline product operations processes

Desirable

• 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 processes that scale, and championing data-driven decisions that deliver value for our customers and teams
• Planning, Roadmapping, and Launch Support
• Coordinate and facilitate product (R&D) goal setting (OKRs), planning sessions, and business rhythms to ensure alignment with company-wide objectives
• Support the Head of Product Operations in monitoring and reporting progress on key results to drive alignment and accountability across the product organization
• Assist with technical program management on cross-functional initiatives involving R&D, Marketing, and GTM, such as release notes, beta programs, and customer feature request processes
• Partner with engineering and client services to enable effective cross-team coordination and release planning
• Product and Go-to-Market (GTM) Partnership
• Implement and optimize scalable processes to support Glean’s growth
• Gather and synthesize stakeholder input and feedback to inform product decisions, ensuring diverse perspectives are considered
• Maintain and communicate updates to the product roadmap, promoting transparency and alignment across teams
• Product Development Excellence
• 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
• Serve as a liaison between product management and R&D teams to facilitate clear and consistent communication
• Assist with Jira configuration, dashboard creation, and workflow automation to enhance the product development lifecycle (PDLC)
• Feedback and Insights
• Product Operations will grow in this area and this role may be involved in, depending on bandwidth. This includes collecting, organizing, and analyzing product data (usage metrics, customer feedback, NPS scores) to support data-driven decision-making; partnering with Strategy, data science and research to unearth and provide cross-product opportunities and insights