Partner Solutions Engineer

Details

Glean is the Work AI platform that combines enterprise search, an AI Assistant, scalable AI agents, over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs on a secure, open platform. Its Enterprise Graph and Personal Knowledge Graph support personalized, context-aware responses and agentic capabilities across structured and unstructured data.

Responsibilities

• Own the technical success of partners across onboarding, technical enablement, early production deployments, and scaled delivery motions.
• Lead hands-on technical trainings, deep dives, workshops, and co-build sessions for partner engineers, architects, consultants, and delivery teams.
• Help partners create repeatable service offerings, implementation packages, and reference architectures on Glean.
• Develop partner technical maturity so teams can independently architect, implement, troubleshoot, and support Glean in production.
• Identify partner capability gaps and work with Partner Managers, Product, Engineering, and Solutions teams to address them through programs, code, content, or product changes.
• Act as Glean's technical representative within partner organizations and build relationships with partner technical leaders.
• Provide technical support and expertise for partner-led services and solutions, particularly around agent development, custom connectors, custom integrations, and platform extensibility.
• Co-build reusable demos and workshops involving Glean Agents, Actions, APIs, Web SDK and embedded experiences, custom connectors, and other extensibility patterns.
• Build prototypes, reference implementations, sample repositories, service patterns, and reusable content.
• Capture field learnings from partner deployments and provide actionable feedback to Product and Engineering.
• Codify successful patterns into implementation guides, architecture blueprints, code samples, workshops, and troubleshooting playbooks.
• Help define partner competencies and services motions, and scale bespoke field work into repeatable best practices.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 5+ years of experience in a technical role such as partner engineer, forward-deployed engineer, solutions architect, solutions engineer, consulting or professional services, or a related role.
• Experience building or deploying AI, LLM, or agent-based systems in production.
• Experience writing, debugging, integrating, and deploying production software systems using APIs, SDKs, authentication patterns, and cloud services.
• Strong engineering fundamentals and hands-on coding experience in Python and at least one of TypeScript, JavaScript, or Java.
• Understanding of cloud platforms and practical experience with at least one major provider: GCP, AWS, or Azure.
• Ability to lead technical workshops, deep dives, or hands-on enablement that builds durable partner capability.
• Excellent communication and interpersonal skills, including the ability to explain complex technical concepts to technical and non-technical audiences.
• Ability to work in ambiguous, fast-moving environments and context-switch across technical and non-technical problems.
• Willingness to travel 25%–50%.

Preferred Qualifications

• 8+ years in a technical role.
• Experience working with VARs, GSIs, SIs, cloud partners, ISVs, or partner delivery organizations.
• Experience with custom data source connectors, indexing pipelines, embedded experiences, enterprise search, retrieval, knowledge systems, or workflow automation.
• Experience creating tutorials, guides, workshops, code labs, reference architectures, and implementation playbooks.
• Experience shaping roadmap or packaging decisions based on partner or customer deployment feedback.
• Prior experience in a startup or high-growth environment shaping partner motions, integrations, or go-to-market plays.

Success In This Role

• Partners can independently deliver production-grade Glean services and solutions in addition to technical demos and pre-sales support.
• Partners develop a visible Glean technical practice with trained engineers, repeatable offerings, reference architectures, and delivery confidence.
• Reusable accelerators, code artifacts, workshops, solution packages, and implementation guides make partner-led delivery faster and more consistent.
• Partner-led deployments achieve faster time to value through early resolution of technical blockers.
• Product and Engineering teams receive high-signal feedback from partner deployments.

Location And Work Policy

This is a hybrid role based in San Francisco, California, with three days per week in the office and 25%–50% travel for partner-facing work.

Compensation And Benefits

The standard base salary range is $200,000–$250,000 annually. Compensation may vary based on location, level, job-related knowledge, skills, and experience. Certain roles may also be eligible for variable compensation, equity, and benefits.

Benefits include medical, vision, and dental coverage, generous time off, a 401(k) plan, a home office improvement stipend, annual education and wellness stipends, regular company events, and daily healthy lunches.

Glean is committed to building and sustaining a diverse and inclusive workplace. The interview process includes a brief AI-focused exercise or discussion about how candidates think about, design, and use AI.