Solutions Architect

Glean Glean · Enterprise · United States · Remote · Customer Outcomes

Solutions Architect for Glean, an enterprise AI platform focused on Work AI, search, and AI assistants. The role involves being a primary technical advisor to post-sale customers, guiding them through architecture, design, and implementation of Glean, onboarding data sources, building custom integrations, and driving product improvements. Requires strong software development, API integration, cloud, and debugging skills, with a focus on customer success and technical enablement.

What you'd actually do

  1. Establish and maintain your role as the customer's primary technical advisor. Think of yourself as the CTO of the customer relationship.
  2. Work with customers to onboard new datasources and implement custom integrations of Glean into their work environment and business application architecture
  3. Build and provide tools, templates, and documentation for customers to leverage in integrating with Glean based on their business application stack
  4. Identify opportunities with the customer to expand the use of Glean within their business application architecture
  5. Provide training and guidance to customer technical resources to enable them to manage, support, and extend Glean in their environment

Skills

Required

  • Python
  • Java
  • Go
  • API and custom data integration experience
  • Technical debugging: log analysis, code analysis, end-to-end transaction tracing
  • Networking expertise
  • Software Engineering
  • Pre-Sales Engineering
  • Post-Sales Engineering
  • Professional Services
  • Support Engineering
  • Google Cloud Platform (GCP)
  • Amazon Web Services (AWS)
  • Microsoft Azure
  • Security & audit experience
  • Clear Communicator: professional presentation and interaction skills
  • Analytical
  • Drive
  • Detail-oriented
  • Project planning
  • Self-motivated
  • Data-driven
  • Bachelor’s Degree

Nice to have

  • Pre or Post-sales Solution Architect experience in a product-led company

What the JD emphasized

  • primary technical advisor
  • custom integrations
  • enterprise architecture
  • customer technical community

Other signals

  • AI agents
  • Work AI platform
  • customer technical advisor
  • custom integrations