Partner Solutions Engineer

Glean Work is hiring a Partner Solutions Engineer in San Francisco, United States. It pays $200k-$250k a year and Level rates it ; you can apply on Glean Work.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
Tools and skills the posting cites include APIs, LLMs and Microsoft Teams.
Level classifies it as a senior role.
Level lists 130 other open roles at Glean Work.

AI in this role

Partner-facing technical expert responsible for helping strategic partners deploy and operationalize Glean's Work AI platform.

apisllmsmicrosoft-teamszoomservicenowzendeskgithub

ai-agentssolutions-architecturetechnical-enablemententerprise-softwarepartner-management

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. You'll be 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: 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. Rather than focusing on isolated enablements or individual deals, you will enable partners to support many customers at scale. From that foundation, you will guide partners in delivering post-sales services and production-ready Glean solutions. You will:

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.
Identify gaps in partner capability and work with Partner Managers, Product, Engineering, and Solutions teams to close them through programs, code, content, or product changes.
Act as Glean’s technical representative within partner organizations, building strong relationships with partner technical leaders and helping them succeed with shared customers.
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.
Build prototypes, reference implementations, samples repos, services patterns, and reusable content that help partners move from concept to working deployment faster.
Bring a strong bias toward execution and technical craftsmanship: this role should produce working outcomes, not just slideware or strategy recommendations.
Capture field learnings from partner deployments and translate them into actionable feedback for Product and Engineering teams.
Codify winning 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.

About you: Required

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.

Success in this role

Partners can independently deliver production-grade Glean services and solutions in addition to technical demos and pre-sales support.
Partners develop a visible Glean technical practice with trained engineers, repeatable offerings, reference architectures, and delivery confidence.
There is a growing catalog of reusable accelerators, code artifacts, workshops, solution packages, and implementation guides that make partner-led delivery faster and more consistent.
Partner-led deployments see faster time to value because hard technical blockers are solved in pre-sales or early post-sales and with more rigor.
Glean’s Product and Engineering teams receive high-signal feedback from real partner deployments that improve platform readiness and capability.

Location: This role is hybrid based out of San Francisco, CA with 3 days per week in office with 25-50% travel for partner-facing work. Compensation & Benefits: The standard base salary range for this position is $200,000 - $250,000 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 an 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. #LI-HYBRID 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.

How we rate this

Partner Solutions Engineer at Glean Work rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Partner Solutions Engineer is an open job at Glean Work.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $200k-$250k a year.
The role is based in San Francisco, CA.
The job was posted on September 4, 2026.
Seniority: senior.
Applications are handled by Glean Work. Apply on Glean Work

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsSolutions ArchitectureTechnical EnablementEnterprise SoftwarePartner ManagementAPIsLLMsMicrosoft Teams

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where solutions architecture was part of your work. What did you do?
Tell me about a project where technical enablement was part of your work. What did you do?
Tell me about a project where enterprise software was part of your work. What did you do?
Tell me about a project where partner management was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI agents, Solutions Architecture, Technical Enablement, Enterprise Software, and Partner Management. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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