Why this role stands out
As a Partner Solutions Engineer at Glean, you'll drive impactful growth for a rapidly scaling, award-winning AI platform, leveraging your technical expertise to build strategic partnerships. This leadership role offers substantial career development within a dynamic and innovative tech environment, with a competitive compensation package of $200,000 - $250,000. You are encouraged to apply and shape the future of work AI.
Quick overview
Job description
- Own the technical success of partners across onboarding, deep 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 top of Glean.
- Develop partner technical maturity over time so their teams can independently architect, implement, troubleshoot, and support Glean in production.
- Identify gaps in partner capability and work with Partner Managers, Product, Engineering, and Solutions teams to close them through programs, code, content, or product changes.
- Act as Glean’s technical representative within partner organizations, building strong relationships with partner technical leaders and helping them succeed with shared customers.
- Provide technical support and expertise for partner-led services and solutions, consulting when complexity is highest, especially around agent development, custom connectors, custom integrations, and platform extensibility best practices.
- Co-build reusable demos and workshops for partner-led solutions involving Glean Agents, Actions, APIs, Web SDK / embedded experiences, custom connectors, and broader extensibility patterns.
- Build prototypes, reference implementations, samples repos, services patterns, and reusable content that help partners move from concept to working deployment faster.
- Bring a strong bias toward execution and technical craftsmanship: this role should produce working outcomes, not just slideware or strategy recommendations.
- Capture field learnings from partner deployments and translate them into actionable feedback for Product and Engineering teams.
- Codify winning patterns into reusable assets such as implementation guides, architecture blueprints, code samples, workshops, and troubleshooting playbooks.
- Help define the next generation of partner competencies and services motions.
- Scale the function by turning bespoke field work into repeatable partner-facing and internal best practices.
- 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/professional services, or other related technical role.
- Experience building or deploying AI / LLM / agent-based systems in production.
- Experience writing, debugging, integrating, and deploying production software systems using APIs, SDKs, auth patterns, and cloud services.
- Strong engineering fundamentals plus hands-on coding experience in Python and at least one of TypeScript / JavaScript / Java.
- Understanding of cloud platforms, with practical experience on at least one major provider (GCP, AWS, or Azure).
- Proven ability to lead technical workshops, deep dives, or hands-on enablement that results in durable partner capability.
- Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical audiences, from engineering teams to executives.
- High tolerance for ambiguity, fast-moving environments, and broad context-switching across technical and non-technical problems.
- Willingness to travel 25% - 50%.
- 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 technical assets such as tutorials, guides, workshops, code labs, reference architectures, and implementation playbooks.
- Experience shaping roadmap or packaging decisions from partner or customer deployment feedback.
- Prior experience in a startup or high-growth environment where you’ve shaped new partner motions, integrations, or GTM plays.
- 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.
- There is a growing catalog of reusable accelerators, code artifacts, workshops, solution packages, and implementation guides that make partner-led delivery faster and more consistent.
- Partner-led deployments see faster time to value because hard technical blockers are solved in pre-sales or early post-sales and with more rigor.
- Glean’s Product and Engineering teams receive high-signal feedback from real partner deployments that improve platform readiness and capability.
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