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 hands-on working-lead role within Partnerships will design the operating model, develop partner capability, establish delivery standards and escalation paths, and stay close to customer and partner engagements as the motion matures. The role reports to the Manager, Partner Solutions Engineering and includes flexibility to work with global partners and travel of up to 25%.

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 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, partners, and customers share accountability across implementation, adoption, outcomes, and ongoing support.
• Create an 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.
• 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 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.
• 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.
• 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, along with 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 the San Francisco or Mountain View office. Travel may be up to 25%.

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.

As part of the interview process, candidates will complete a brief AI-focused exercise or discussion covering how they think about, design, and use AI to drive impact in the role.