Resident Solutions Architect

Details

Glean is seeking a Resident Solutions Architect to serve as the strategic technical advisor for a small set of important enterprise and strategic customers. The role owns technical account strategy, architecture decisions, integrations, governance, production readiness, and customer technical outcomes. This is a strategic technical role rather than a reactive support or generic project coordination position.

Responsibilities

• Serve as the primary strategic technical advisor and point of contact for assigned customers.
• Own technical account strategies, including quarterly technical roadmap reviews, technical operating reviews, and executive technical alignment.
• Develop technical roadmaps aligned with customer objectives, implementation milestones, and measurable success criteria.
• Lead architecture review workshops and document recommendations, trade-offs, supported patterns, and ownership.
• Guide customers through architecture, design, and implementation choices involving connectors, MCP, actions, APIs, SDKs, custom UI embeds, and agent workflows.
• Productionize advanced customer workflows by defining evaluations, governance, observability, guardrails, and production-readiness requirements.
• Design and deliver, or lead the design and delivery of, strategic technical builds such as Skills, Actions, MCP servers, custom connectors, Web SDK integrations, Client API integrations, and embedded experiences.
• Partner with Solutions Architects on delegated implementation work while retaining accountability for technical direction and customer outcomes.
• Provide technical enablement to customer administrators, developers, and technical stakeholders.
• Align technical plans with Customer Success, AI Outcomes Managers, Account teams, Product, Engineering, and Support.
• Translate customer friction, deployment blockers, and enterprise requirements into engineering-ready product feedback.
• Advise executives, Product, and R&D on enterprise customer needs, solution design, and platform trade-offs.
• Support governance and security activities involving identity, networking, data protection, observability, and enterprise rollout readiness.
• Act as the technical point of contact for strategic customer initiatives and correctly frame escalations while leaving break/fix ownership with Support and operational teams.
• Own cross-account technical programs and reusable blueprints that improve post-sales outcomes.
• Define and improve the Resident Solutions Architect operating model, service packaging, and repeatable delivery patterns.
• Create reusable patterns, playbooks, and artifacts for strategic accounts.
• Shape the Solutions Architect organization through mentorship and advanced enablement programs.

Requirements

• Clear communication skills, including the ability to lead technical discussions with architects, administrators, developers, security stakeholders, and executives.
• Strategic and analytical thinking with the ability to connect roadmaps, architecture, governance, and production outcomes.
• Customer-focused, organized, builder-oriented, and accountable approach.
• Software development experience in at least two of Python, Java, Go, or similarly relevant modern programming languages.
• Strong experience with APIs, SDKs, custom data integrations, and enterprise application architecture in hybrid, SaaS, or on-premises environments.
• Strong AI fluency, including integrating AI into core workflows, building repeatable multi-step processes, and applying agents, coding tools, and workflow automation.
• Ability to shape technical patterns involving Skills, agent workflows, MCP, custom actions, custom connectors, Web SDK, Client APIs, and embedded product experiences.
• Hands-on experience with agentic coding tools such as Claude Code, Cursor, or Copilot for scaffolding, refining, testing, and debugging technical solutions.
• Ability to architect end-to-end AI application patterns involving content ingestion, retrieval, grounded answer generation, and source-aware responses using Glean Indexing, Search, and Chat APIs.
• Strong debugging skills, including log analysis, code analysis, end-to-end tracing, and structured troubleshooting across distributed systems.
• Deep understanding of cloud and on-premises networking, private connectivity, and enterprise security constraints.
• Hands-on experience with at least one of Google Cloud Platform, Amazon Web Services, or Microsoft Azure.
• Security and audit fluency, including the ability to represent product architecture and controls to security, privacy, and audit stakeholders.
• Experience defining production-readiness requirements for AI-powered workflows, including evaluations, observability, governance, reliability, and rollback or escalation paths.
• Ability to evolve prototypes into enterprise-ready designs addressing permissions, observability, rollout controls, scaling, security, and live debugging.
• Experience in at least two of Software Engineering, Pre-Sales Engineering, Post-Sales Engineering, Professional Services, Support Engineering, Forward Deployment, or Solutions Architecture.
• Strong executive communication, technical account management, architecture leadership, cross-functional influence, enablement, data-driven judgment, self-motivation, and attention to detail.
• Experience serving as the named technical owner for strategic or complex enterprise accounts.
• Experience supporting architecture-heavy customers with private networking, on-premises data sources, advanced governance, custom UI requirements, or AI workflow productionization.
• Experience moving customer AI use cases from workshop prototypes to production-quality systems.
• A bachelor's degree in Computer Science or equivalent with 7+ years of relevant technical consulting, solutions architecture, or customer-facing engineering experience, or a master's degree in Computer Science or equivalent with 7+ years of relevant experience.
• The role requires candidates to be located in the United States Eastern, Central, or Western time zones.

Benefits

• Standard OTE range of $170,000–$240,000 annually.
• Compensation may include variable compensation, equity, and benefits depending on the role.
• Medical, vision, and dental coverage.
• Generous time-off policy.
• 401(k) plan.
• Home office improvement stipend.
• Annual education and wellness stipends.
• Regular company events and daily healthy lunches.
• Inclusive workplace commitment.
• Interview process includes a brief AI-focused exercise or discussion.

Glean is the Work AI platform that provides enterprise search, an AI Assistant, scalable AI agents, enterprise SaaS connectors, flexible LLM choice, robust APIs, and Enterprise and Personal Knowledge Graphs. The platform supports integrations and workflows across systems such as Microsoft Teams, Zoom, ServiceNow, Zendesk, and GitHub.