Jobs at Glean

Develop and launch user-facing features, oversee feature implementation, architect scalable REST APIs, and mentor junior engineers.

Lead design and operationalization of a partner services motion: build operating models, maturity paths, enablement, governance, and measurement to ensure partner-led implementation, adoption, and outcomes. Work directly with partners and cross-functional teams to improve delivery quality, escalation paths, tooling, and apply AI to optimize services operations.

Drive partner strategy and execution in Southern California to source and influence pipeline. Recruit, activate, and grow SI/VAR and strategic partners; build joint GTM plans, co-selling motions, and repeatable plays. Align partners with field territories, educate sales teams, and coordinate cross-functionally on deal registration, contracts, MDF, and reporting to deliver measurable partner-driven revenue.

As a Founding Forward Deployed Engineer at Glean, you will design and launch AI solutions with clients, overseeing the entire engagement process from planning to implementation, while ensuring successful deployment of production software in enterprise environments.

Lead design and operationalization of a partner services motion: build operating models, enable and coach partners, define accountability and escalation, measure delivery quality and outcomes, partner cross-functionally to improve tooling and processes, and apply AI to enhance services operations and partner capability.

As a Forward Deployed Engineer, you will work with clients to create AI solutions, oversee implementation, and develop customer relationships, while staying updated on LLM advancements.

As a Founding Forward Deployed Engineer, you will create AI solutions for clients, collaborate with teams, and manage deployments to solve business challenges, leveraging your technical expertise and client-facing skills.

Own product roadmap development for Glean’s enterprise AI assistant and knowledge-management products. Partner closely with customers to understand their needs, prioritize customer-focused initiatives, align Design, Engineering, Sales, Marketing, and Success teams, and drive efficient execution. Establish scalable product processes during rapid growth while providing direction, context, and alignment to the product team.

Own full-cycle recruiting for go-to-market roles across Sales, Customer Success, and Solutions/Pre-Sales. Partner with hiring leaders on success profiles, interview plans, calibration, and decision criteria. Build targeted talent maps and sourcing strategies, assess and close candidates, maintain rigorous recruiting operations, and provide pipeline analytics. Improve recruiting systems, playbooks, and processes while delivering a strong candidate experience in a fast-paced, hybrid environment.

Evaluate AI outputs across search, tool use, and end-to-end workflows; label failure modes; maintain benchmark datasets, golden sets, and regression slices; analyze hallucinations, retrieval issues, grounding, and workflow completion; calibrate human graders and validate LLM-as-a-judge results; improve rubrics and labeling quality; and partner with Engineering, Product, QA, and evaluation teams on quality reporting and release readiness.

Drive new business and expansion within large enterprise accounts: source and close net-new logos, map complex organizations, build executive sponsors and champions, run data-driven POCs and ROI analyses, collaborate with internal teams, and consistently hit ARR targets through repeatable, metric-based sales strategies.

The Lead Site Reliability Engineer will drive technical strategy, ensure high service availability, manage cloud infrastructure, and lead a team to optimize systems and automate processes.

The AI Success Manager will oversee customer onboarding, technical deployment, and strategic partnerships to ensure successful AI implementations, driving measurable business outcomes and adoption.

The AI Success Manager will drive successful AI deployments, manage customer engagements, and ensure efficient project delivery while collaborating across teams for desired outcomes.

The AI Success Manager ensures successful AI deployments and customer engagements, focusing on strategy, collaboration, and achieving business outcomes.

The role involves sourcing and closing new logos, navigating complex deals, collaborating with partners, and hitting revenue targets through data-driven sales strategies.

Develop and oversee user-facing features, create REST APIs, and collaborate with cross-functional teammates, ensuring product quality and mentoring junior engineers.

The Product Manager will lead the development of AI-driven tools, aligning customer needs with product vision, and coordinating with cross-functional teams to drive impact.

The AI Success Manager will lead AI deployments, ensure customer success, and manage project plans while collaborating with various teams.

As a Product Manager at Glean, you will evaluate LLM models, define the product roadmap, manage relationships with providers, and drive customer adoption of AI capabilities.