Partner Solutions Engineer (AI)

Location: Hybrid in San Francisco, CA, with 3 days per week in the office and 25–50% travel

Salary: $200,000–$250,000 annually, with potential variable compensation, equity, and benefits.

Company

Glean provides a Work AI platform with enterprise search, an AI Assistant, AI agents, SaaS connectors, LLM integrations, APIs, and extensibility tools.

What you will do

• Own partner technical success across onboarding, enablement, early production deployments, and scaled delivery.
• Lead hands-on technical trainings, workshops, deep dives, and co-build sessions for partner engineers, architects, consultants, and delivery teams.
• Help partners create repeatable service offerings, implementation packages, reference architectures, and production delivery practices.
• Provide technical guidance on AI agents, custom connectors, custom integrations, APIs, Web SDK experiences, and platform extensibility.
• Build reusable demos, prototypes, code samples, implementation guides, workshops, and troubleshooting playbooks.
• Translate partner deployment feedback into improvements for Product and Engineering and help scale repeatable partner practices.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 5+ years in a technical role such as partner engineering, solutions architecture, solutions engineering, consulting, or professional services.
• Production experience building or deploying AI, LLM, or agent-based systems.
• Hands-on experience writing, debugging, integrating, and deploying production software with APIs, SDKs, authentication patterns, and cloud services.
• Strong coding skills in Python and at least one of TypeScript, JavaScript, or Java, plus practical experience with GCP, AWS, or Azure.
• Ability to lead technical workshops and communicate complex concepts to technical and non-technical audiences; willingness to travel 25–50%.

Nice to have

• 8+ years in a technical role and experience 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.
• Startup or high-growth company experience shaping partner motions, integrations, or go-to-market initiatives.

Culture & Benefits

• Medical, vision, and dental coverage.
• Generous time off and access to a 401(k) plan.
• Home office improvement, education, and wellness stipends.
• Regular company events and healthy lunches in the office.
• Inclusive workplace focused on diverse backgrounds, experiences, and perspectives.

Hiring process

• Complete a brief AI-focused exercise or discussion during the interview process.