Partner SE Deployment Manager

Details

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. The role will design the operating model, develop partner capability, establish delivery standards and escalation paths, and remain close to customer and partner engagements as the motion matures. It reports to the Manager, Partner Solutions Engineering.

Glean is a Work AI platform offering enterprise search, an AI assistant, scalable AI agents, enterprise SaaS connectors, flexible LLM choice, robust APIs, and enterprise and personal knowledge graphs. Its platform integrates with tools including Microsoft Teams, Zoom, ServiceNow, Zendesk, and GitHub.

Responsibilities

• Build the partner services operating model, including engagement paths, roles and responsibilities, governance, quality controls, escalation mechanisms, and feedback loops.
• Establish a maturity path that helps partners progress from 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 accountability between Glean, partners, and customers across implementation, adoption, outcomes, and ongoing support.
• Select, segment, and match 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.
• Establish measures for partner participation, delivery quality, customer outcomes, adoption, consumption, and expansion, using those measures to guide investment and improvement.
• Represent field needs in partner tooling, support processes, and product feedback.
• Apply AI to improve services operations, partner capability, delivery quality, or measurement while maintaining human review and quality controls.

Requirements

• 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.
• Experience 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 ability to evaluate approaches, identify risk, and guide escalations.
• Ability to influence Sales, Delivery, Product, Engineering, Support, and executive stakeholders without formal authority.
• A data-informed approach to improving services motions and connecting operating measures and field feedback to decisions and customer outcomes.
• Comfort working 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, with the judgment to validate outputs and manage customer risk.
• Excellent written, verbal, and cross-functional communication skills.
• The role requires travel of up to 25% and flexibility to work with global partners.

Location

This role is hybrid, with four days per week in either the San Francisco or Mountain View office. The posting also describes the role as remote in the United States.

Compensation And Benefits

• On-Target Earnings range: $209,000–$300,000 annually.
• Medical, vision, and dental coverage.
• Generous time-off policy.
• 401(k) contribution plan.
• Home office improvement stipend.
• Annual education and wellness stipends.
• Regular company events and healthy lunches daily.
• Diverse and inclusive workplace.
• The interview process includes a brief AI-focused exercise or discussion.