Global Head of AI Deployment and Partner Delivery
Dust is an enterprise AI platform for creating, sharing, and operating agents connected to company knowledge, tools, and team workflows.
Maintainer signals as of 9/25/2026
Funding history
About Dust
Dust provides a multiplayer AI platform where organizations connect models, internal data, and business tools so people and AI agents can collaborate in shared, governed workflows.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead and grow the global AI Deployment team while remaining hands-on with complex enterprise deployments. You will establish scalable delivery methods, readiness standards, performance measures, and reusable playbooks. You will guide AI transformation programs, align customer stakeholders, drive adoption, and build a high-quality partner delivery network through training, certification, and co-delivery.
Requirements
- At least 6 years of experience leading and developing customer-facing deployment or delivery teams.
- Experience leading complex enterprise deployments or transformation programs with measurable customer outcomes.
- Experience building or significantly improving a deployment methodology, professional services model, or delivery function.
- Experience leading organizational change alongside technology rollouts and building champion networks or adoption plans.
- Knowledge of systems integrators, consultancies, and implementation partners.
- Experience building enablement or certification programs.
- Experience recovering at-risk engagements involving scope, staffing, technical complexity, or stakeholder alignment.
- Ability to communicate credibly with customer executives, partner leaders, and technical practitioners.
- Willingness to travel to customers and partners when needed.
- Knowledge of prompting, context, tool use, retrieval, evaluations, reliability, and AI cost.
- Ability to assess integrations, data connectors, authentication, permissions, security, and production readiness.
- Ability to design evaluations connecting AI performance to customer and business outcomes.
Responsibilities
- Lead and grow the global AI Deployment team.
- Set the team’s direction, priorities, standards, operating rhythms, capacity planning, and reporting.
- Hire, develop, and coach deployment leaders and practitioners.
- Build a scalable deployment method from discovery through handoff.
- Define delivery ownership and handoffs between Dust and partners.
- Establish readiness criteria, delivery health measures, and regular delivery reviews.
- Turn deployment lessons into reusable playbooks, templates, reference architectures, and product input.
- Personally lead complex, high-priority customer deployments from scoping through adoption.
- Align customer executives, IT, security, and business teams on goals, use cases, and success measures.
- Design change programs, enablement, adoption milestones, and champion networks.
- Track adoption and hand off customers to Customer Success with clear next steps.
- Assess partner delivery capability and build partner capacity.
- Create partner onboarding, training, certification, and train-the-trainer programs.
- Co-deliver early partner engagements and enable partners to deliver independently.
- Advise customers on AI-agent value, technical trade-offs, and evaluation approaches.