About the job
At Glean, partners are force multipliers. As a Partner Solutions Engineer, you will be a partner-facing technical expert responsible for helping strategic partners across VARs, GSIs, SIs, Cloud Partners, and ISVs, successfully design, deploy, scale, and operationalize Glean across their customer base. This role is designed for someone comfortable leading hands-on workshops and enablement sessions, developing technical solutions, and consulting on complex partner-led services. You will work directly with partner solution architects, delivery teams, product teams, and partner managers to help them build the skills, assets, offerings, and confidence required to establish a durable Glean services practice.
Responsibilities
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.
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.
Qualifications
Minimum
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%.
Preferred
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.