Dust
Teams at Dust
Recently posted jobs
Artificial Intelligence
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.
Artificial Intelligence
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.
Artificial Intelligence
Own Dust’s product management practice as its first PM. Translate customer, GTM, and company signals into prioritized problems and initiatives; define objectives, KPIs, scope, and context; track outcomes; and coordinate Marketing, Communications, GTM, Product, Engineering, and Design. The role requires building processes from scratch, operating with distributed authority, using AI tools fluently, and improving how teams collaborate around product decisions.
