The Role
Lead design and operationalization of a partner services motion: build operating models, maturity paths, enablement, governance, and measurement to ensure partner-led implementation, adoption, and outcomes. Work directly with partners and cross-functional teams to improve delivery quality, escalation paths, tooling, and apply AI to optimize services operations.
Summary Generated by Built In
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 Partner SE Deployment Manager to build and operationalize the partner services motion that helps qualified partners deliver successful customer outcomes with Glean. This is a hands-on working-lead role within Partnerships: you will design the operating model, develop partner capability, establish delivery standards and escalation paths, and stay close to real customer and partner engagements as the motion matures. The role reports to the Manager, Partner Solutions Engineering and is remote in the United States, with travel of up to 25% and flexibility to work with global partners.
You will:
- Build the partner services operating model, including engagement paths, roles and responsibilities, governance, quality controls, escalation mechanisms, and feedback loops.
- Establish a practical maturity path that helps partners progress from initial preparation to guided delivery and, ultimately, independent customer delivery.
- Work directly with partners and customer-facing teams to develop delivery capability through real engagements, enablement, coaching, and reusable playbooks.
- Define how Glean, the partner, and the customer share accountability across implementation, adoption, outcomes, and ongoing support.
- Create a thoughtful approach for selecting, segmenting, and matching services partners to customer opportunities based on capability, customer needs, and delivery risk.
- Partner cross-functionally with Partner Solutions Engineering, Partner Development, Applied AI and Post-Sales, Product, Engineering, Support, Technical Enablement, and Partner Operations to improve partner delivery.
- Establish measures for partner participation, delivery quality, customer outcomes, adoption, consumption, and expansion, and use those measures to guide investment and improvement.
- Represent field needs in partner tooling, support processes, and product feedback while helping internal teams build confidence in partner-led delivery.
- Apply AI thoughtfully to improve services operations, partner capability, delivery quality, or measurement while maintaining appropriate human review and quality controls.
About you:
- Experience building or scaling a professional services, consulting, delivery, or partner-led services practice in an enterprise SaaS, technology, or consulting environment.
- Experience managing services operations such as delivery quality, capacity, utilization, profitability, governance, or escalations.
- A track record of creating lightweight, repeatable processes and operating mechanisms in an early-stage, fast-growing, or ambiguous environment.
- Experience developing partner or delivery-team capability through customer work, coaching, enablement, or structured readiness programs.
- Strong technical credibility across enterprise applications, integrations, cloud platforms, APIs, or AI solutions, with the judgment to evaluate approaches, identify risk, and guide escalations.
- Demonstrated ability to influence Sales, Delivery, Product, Engineering, Support, and executive stakeholders without relying on formal authority.
- A data-informed approach to improving services motions, including the ability to connect operating measures and field feedback to decisions and customer outcomes.
- Comfort operating as a hands-on individual contributor and working leader before a larger team or resource model is in place.
- Practical AI fluency, including experience using AI to improve delivery, operations, partner capability, or productivity and the judgment to validate outputs and manage customer risk.
- Excellent written, verbal, and cross-functional communication skills, with the ability to make complex tradeoffs clear to technical and non-technical stakeholders.
Location:
- This role is hybrid, with four days per week in either our San Francisco or Mountain View office.
Compensation & Benefits:
The On-Target Earnings (OTE) range for this role is $209,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.
We offer a comprehensive benefits package, including competitive compensation, Medical, Vision, and Dental coverage, a 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.
We offer a comprehensive benefits package, including competitive compensation, Medical, Vision, and Dental coverage, a 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.
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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.
Skills Required
- Experience building or scaling a professional services, consulting, delivery, or partner-led services practice in enterprise SaaS, technology, or consulting environments.
- Experience managing services operations such as delivery quality, capacity, utilization, profitability, governance, or escalations.
- Proven ability to create lightweight, repeatable processes and operating mechanisms in early-stage or ambiguous environments.
- Experience developing partner or delivery-team capability through customer work, coaching, enablement, or structured readiness programs.
- Strong technical credibility across enterprise applications, integrations, cloud platforms, APIs, or AI solutions, with ability to evaluate risk and guide escalations.
- Demonstrated ability to influence Sales, Delivery, Product, Engineering, Support, and executive stakeholders without formal authority.
- Data-informed approach to improving services motions and connecting operating measures to customer outcomes.
- Comfort operating as a hands-on individual contributor and working leader prior to having a larger team in place.
- Practical AI fluency and experience using AI to improve delivery, operations, partner capability, or productivity while managing risk.
- Excellent written, verbal, and cross-functional communication skills.
- Ability to work hybrid in San Francisco or Mountain View offices (four days per week) and travel up to 25%.
Glean Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Glean and has not been reviewed or approved by Glean.
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Healthcare Strength — Healthcare coverage includes employer-provided medical, dental, and vision across U.S. roles. Descriptions of benefits and third‑party listings characterize core health offerings as solid.
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Equity Value & Accessibility — Equity is widely offered via stock options and highlighted as a core part of total rewards. Engineering packages are portrayed as particularly competitive when equity value is considered.
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Leave & Time Off Breadth — Time off includes flexible PTO and a company‑wide winter break. Parental leave is described as generous in public listings, though specifics are not consistently published.
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The Company
What We Do
Glean searches across all your company’s apps to help you find exactly what you need and discover the things you should know. 🔍 AI-powered workplace search. 💡 Personalized results and knowledge discovery. ⚡ Easy to use, ready to go— right out of the box.
