G

Glean

AI-powered enterprise search across applications

Partner Solutions Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • At least 5 years of experience in a technical role such as partner engineer, forward-deployed engineer, solutions architect, solutions engineer, consulting/professional services, or another related technical role.
  • Experience building or deploying AI, large language model, or agent-based systems in production.
  • Experience writing, debugging, integrating, and deploying production software systems using APIs, software development kits, 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, with practical experience on at least one major provider: Google Cloud Platform, Amazon Web Services, or Microsoft Azure.
  • Ability to lead technical workshops, deep dives, or hands-on enablement that results in durable partner capability.
  • Ability to explain complex technical concepts to 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%.

Responsibilities

  • Own partners’ technical success 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 partner 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 address them through programs, code, content, or product changes.
  • Represent Glean technically within partner organizations, build relationships with partner technical leaders, and help partners succeed with shared customers.
  • Provide technical support and expertise for partner-led services and solutions, consulting on highly complex work, especially 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 and embedded experiences, custom connectors, and broader extensibility patterns.
  • Build prototypes, reference implementations, sample repositories, service patterns, and reusable content to help partners move from concept to working deployment faster.
  • Deliver working technical outcomes through execution and technical craftsmanship, rather than only slideware or strategy recommendations.
  • Capture field learnings from partner deployments and translate them into actionable feedback for Product and Engineering teams.
  • Codify successful 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.

Desired Qualifications

  • At least 8 years of experience in a technical role.
  • Experience working with value-added resellers, global systems integrators, systems integrators, cloud partners, independent software vendors, or partner delivery organizations.
  • Experience with custom data source connectors, indexing pipelines, embedded experiences, enterprise search or 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 based on partner or customer deployment feedback.
  • Prior experience in a startup or high-growth environment shaping new partner motions, integrations, or go-to-market plays.

About the Company

Glean

AI-powered enterprise search across applications

Glean builds an AI-powered search and knowledge assistant that helps employees find information across all of a company's apps and data. Its core product is an enterprise search tool that understands natural language queries and retrieves relevant results from documents, conversations, tickets, and other sources, plus a chat assistant that can summarize and answer questions using that same information. The system uses deep learning language models that adapt to a company's own terminology and context, improving relevance without manual tuning, and it offers hosting options to align with security and data policies. Compared with competitors, Glean focuses on cross-application search, organization-specific language learning, and a combined search-and-chat experience that delivers direct answers and summaries from internal knowledge sources. Its goal is to help teams work faster by turning scattered information into easily accessible answers, reducing time spent searching.

Company size
1,001-5,000
Company stage
Series F
Total funding
$805M
Headquarters
Palo Alto, CA
Founded
2019

Recently Posted Jobs

Explore more opportunities at Glean

See more jobs