About Dust. Dust is a platform for building, sharing and running AI agents that connect a company’s knowledge, tools and teams. With more than 70 connectors and a choice of models from every major provider, it lets organisations put governed agents to work on real workflows. Thousands of companies worldwide already run their teams on Dust.
Missions
- Lead and grow the global AI Deployment team, setting direction, standards, hiring plans, capacity planning and reporting.
- Define one repeatable deployment method used by Dust and its partners, with clear entry, exit and go-live criteria.
- Track delivery health metrics and turn lessons from each engagement into playbooks and reusable assets.
- Personally lead complex enterprise deployments as a player-coach, aligning executives and IT on success measures.
- Design change programmes, build internal AI champions at customers and hand over cleanly to Customer Success.
- Assess, train and certify delivery partners, co-deliver early engagements and help partners deliver independently.
- Advise customers on where agents add value, covering retrieval, tool use, evaluation, cost, integrations, security and production readiness.
Profile
- At least six years leading customer-facing delivery, professional services or transformation teams.
- Experience running complex enterprise deployments with measurable outcomes.
- A record of building delivery methods, change programmes or enablement frameworks from scratch.
- Familiarity with how systems integrators and consulting partners operate and sell.
- Experience rescuing at-risk engagements and bringing them back to a healthy state.
- Credible understanding of agent fundamentals; machine-learning engineering experience is welcome but optional.
- Willingness to travel and to work office-first from Paris, London, San Francisco or New York.
