Partner SE Deployment Manager

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 independent customer delivery.
• Work directly with partners and customer-facing teams to develop delivery capability through customer engagements, enablement, coaching, and reusable playbooks.
• Define shared accountability among 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 them to guide investment and improvement.
• Represent field needs in partner tooling, support processes, and product feedback while building internal confidence in partner-led delivery.
• 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.
• 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 judgment to evaluate approaches, identify risk, and guide escalations.
• 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 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.
• Excellent written, verbal, and cross-functional communication skills.

Compensation & Benefits

• On-target earnings range: $209,000–$300,000 annually.
• Medical, vision, and dental coverage.
• Generous time-off policy.
• 401(k) plan.
• Home office improvement stipend.
• Annual education and wellness stipends.
• Regular company events and healthy lunches daily.

Work Arrangement

• Hybrid role with four days per week in either the San Francisco or Mountain View office.
• Remote within the United States as stated in the role overview, with up to 25% travel and flexibility to work with global partners.