Teams at Dust

Lead the support engineering function by building and owning AI agents, automation workflows, classification and knowledge systems to eliminate ticket categories. Run escalations, investigate complex issues across logs and code, hire and coach support engineers, and close feedback loops with product and engineering to continuously reduce manual support work.

Leads Dust’s global Solutions Engineering organization across pre-sales and post-sales. Builds the team, operating model, hiring strategy, career paths, and technical standards while personally supporting strategic enterprise evaluations. Owns technical wins, deployment handoffs, advanced customer adoption, expansion, reusable playbooks, and cross-functional alignment with Sales, Customer Success, AI Deployment, Product, and Engineering. Requires strong expertise in enterprise architecture, integrations, security, governance, AI systems, and customer-facing technical leadership.

Lead Dust’s US customer-success motion as a player-coach, personally managing strategic B2B SaaS accounts while building scalable post-sales processes. Responsibilities include customer segmentation, adoption, renewals, expansion, escalations, success planning, cross-functional coordination, playbook development, team coaching, hiring plans, and partnership with Sales and Product. The role will establish operating rhythms and customer-success practices for a fast-growing AI company.