Job Description
About Glean:
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.
At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.
Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.
If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.
About the Role:
Glean is seeking a talented Resident Solutions Architect to join our rapidly expanding, venture-backed startup. In this role, you will serve as the strategic technical advisor for a small set of Glean’s most important Enterprise and Strategic customers, where architecture, integration, governance, and production-readiness demands are high. You will act as the named technical owner for each account, guiding long-term architecture decisions, shaping advanced workflows into production, and aligning technical plans to measurable customer outcomes. This is the strategic technical layer in the engagement team - not a reactive support role or generic project coordination role.
You will:
- Serve as the primary strategic technical advisor and point of contact for assigned customers, operating as the technical counterpart to the customer relationship.
- Own the technical account strategy for assigned customers, including quarterly technical roadmap reviews, technical operating reviews, and executive technical alignment.
- Develop and maintain strategic technical roadmaps aligned to customer business objectives, implementation milestones, and measurable technical success criteria.
- Lead technical decision-making and architecture review workshops, documenting recommendations, trade-offs, supported patterns, and ownership.
- Guide customers through architecture, design, and implementation choices across connectors, MCP, actions, APIs, SDKs, custom UI embeds, and agent workflows.
- Productionize advanced customer workflows by defining evals, governance, observability, guardrails, and production-readiness requirements before broad rollout.
- 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 as the execution layer when scoped implementation work should be delegated, while remaining accountable for the overall technical direction and customer outcomes.
- Provide technical enablement to customer admins, developers, and technical stakeholders so they can operate, extend, and support Glean effectively in their environment.
- Align technical plans with Customer Success, AI Outcomes Managers, Account teams, Product, Engineering, and Support so the customer has one coherent technical narrative.
- Translate recurring customer friction, deployment blockers, and enterprise requirements into engineering-ready product feedback with clear business impact and technical context.
- Serve as a recognized advisor to executives, Product, and R&D on enterprise customer reality, solution design, and platform trade-offs for high-value customer motions.
- Support customer governance and security motions, including reviews tied to identity, networking, data protection, observability, and enterprise rollout readiness.
- Act as a steady technical point of contact for strategic customer initiatives, helping frame escalations correctly while keeping break/fix ownership with Support and other operational teams.
- Own cross-account technical programs and reusable blueprints that improve how Glean delivers post-sales outcomes across customers.
- Define and improve the RSA operating model, service packaging, and repeatable delivery patterns so strategic work scales cleanly across customers and teams.
- Contribute to the Glean customer technical community by codifying repeatable patterns, playbooks, and artifacts for strategic accounts.
- Shape the SA organization through mentorship, advanced enablement programs, and reusable guidance that raises the bar for strategic technical consulting.
About you:
- You are a clear communicator who can lead technical conversations with architects, admins, developers, security stakeholders, and executives.
- You are strategic and analytical, with the ability to connect roadmap, architecture, governance, and production outcomes into a clear technical point of view, while evaluating trade-offs in ambiguous environments.
- You are customer-minded, organized, builder-oriented, and accountable, with a track record of building trust, maintaining momentum, and owning technical outcomes even when execution is shared across teams.
- You have software development experience in at least two of the following: Python, Java, Go, or similarly relevant modern programming languages.
- You have strong experience with APIs, SDKs, custom data integrations, and enterprise application architecture in hybrid, SaaS, or on-prem environments.
- You have strong AI fluency that goes beyond basic prompting, including integrating AI into core workflows, building repeatable multi-step processes, and applying the right mix of agents, coding tools, and workflow automation.
- You have the ability to shape technical patterns across Skills, agent workflows, MCP, custom actions, custom connectors, Web SDK, Client APIs, and embedded product experiences.
- You have hands-on experience using agentic coding tools such as Claude Code, Cursor, or Copilot responsibly to scaffold, refine, test, and debug technical solutions, while retaining ownership of architecture and implementation trade-offs.
- You can architect end-to-end AI application patterns on Glean, including content ingestion, retrieval, grounded answer generation, and source-aware response design using APIs such as Indexing, Search, and Chat.
- You have strong technical debugging skills, including log analysis, code analysis, end-to-end tracing, and structured troubleshooting across distributed systems.
- You bring deep understanding of networking, including cloud and on-prem networking, private connectivity patterns, and enterprise security constraints.
- You have hands-on experience with cloud technologies in at least one of the following: Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.
- You have security and audit fluency, with the ability to represent product architecture and controls with customer security, privacy, and audit stakeholders.
- You have experience defining production-readiness requirements for AI-powered workflows, including evals, observability, governance, reliability, and rollback or escalation paths.
- You can evolve prototypes into enterprise-ready designs by addressing permissions, observability, rollout controls, scaling, security, and live debugging in real customer environments.
- You think in terms of what is newly possible with AI, not just what can be made faster, and can turn that perspective into reusable customer patterns, internal blueprints, or scaled service offerings.
- You have experience in at least two of the following disciplines: Software Engineering, Pre-Sales Engineering, Post-Sales Engineering, Professional Services, Support Engineering, Forward Deployment, or Solutions Architecture.
- You have strong executive communication, technical account management, architecture leadership, cross-functional influence, enablement, data-driven judgment, self-motivation, and attention to detail.
- You have experience serving as the named technical owner for strategic or complex enterprise accounts.
- You have experience supporting architecture-heavy customers with requirements such as private networking, on-prem data sources, advanced governance, custom UI needs, or AI workflow productionization.
- You have experience moving customer AI use cases from workshop-quality prototypes to production-quality systems.
- Pre-sales or post-sales Solutions Architect experience in a product-led company is a strong plus.
- You hold 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.
Location:
- This role is remote (must be located in US East,Central, or West timezone)
Compensation & Benefits:
The standard OTE range for this position is $170,000 - $240,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you’ll receive a home office improvement stipend, as well as annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
We’re committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
OR
AI-First Mindset at Glean:
At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required.
Global Data Privacy Notice for Job Candidates and Applicants:
Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.
By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.
Originally posted on Himalayas
