Partner Solutions Engineer
Partner-facing technical expert who enables VARs, GSIs, SIs, cloud partners, and ISVs to design, deploy, and scale production Glean solutions. The role combines hands-on coding, AI/LLM systems, cloud integrations, technical workshops, and partner capability development.
About the job
Responsibilities
- Own partners’ technical success across onboarding, deep technical 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, and reference architectures on Glean.
- Develop partner capability to independently architect, implement, troubleshoot, and support Glean in production.
- Collaborate with Partner Managers, Product, Engineering, and Solutions teams to address capability gaps through programs, code, content, or product changes.
- Provide technical expertise for complex partner-led services, including agent development, custom connectors, custom integrations, and platform extensibility.
- Build reusable demos, prototypes, reference implementations, sample repositories, workshops, implementation guides, architecture blueprints, code samples, and troubleshooting playbooks.
- Capture deployment learnings and translate them into product and engineering feedback.
- Help define partner competencies and scale partner-facing 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 engineering, forward-deployed engineering, solutions architecture, solutions engineering, or consulting/professional services.
- Experience building or deploying AI, LLM, or agent-based systems in production.
- Experience writing, debugging, integrating, and deploying production software using APIs, SDKs, authentication patterns, and cloud services.
- Strong engineering fundamentals and hands-on coding experience in Python plus at least one of TypeScript, JavaScript, or Java.
- Practical experience with at least one major cloud provider: GCP, AWS, or Azure.
- Ability to lead technical workshops, deep dives, or hands-on enablement that builds durable partner capability.
- Excellent communication skills for explaining complex technical concepts to technical and non-technical audiences.
- Willingness to travel 25%–50%.
Nice-to-haves
- 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 reusable tutorials, guides, workshops, code labs, reference architectures, and implementation playbooks.
- Experience shaping roadmap or packaging decisions from partner or customer deployment feedback.
- Startup or high-growth company experience.
Compensation and benefits
- Hybrid role based in San Francisco.
Skills
Python, TypeScript, JavaScript, Java, APIs, SDKs, Cloud Services, GCP, AWS, Microsoft Azure, LLMs, AI Agents, Custom Connectors, Indexing Pipelines, Web Sdk
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