Global Head of Solutions Engineering

About Dust Work is being rewritten, and the people holding the pen are the ones who actually run it. With enterprise-grade governance, flexible model choice, and a collaborative interface for humans and agents to work together, Dust empowers AI Operators at the world’s fastest-moving companies to rewire how work gets done. With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We don't get piloted and shelved. We land once, and spread. We're at an exciting stage of our journey, and growing fast. We're serving great customers like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026. Dust is backed by Sequoia with a determined team of optimists (coming from Stripe, OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too seriously while doing so. The Generalist named us among the Future 50 . Summary Dust is hiring a Global Head of Solutions Engineering to build the technical customer-facing organization required for our next stage of growth. You will lead our global Solutions Engineering function across pre-sales and post-sales. You will own how Dust earns the technical win during complex enterprise evaluations and how we deepen the value, adoption, and stickiness of Dust during and after deployment through advanced use cases and technical solutions. This is a founding player-coach role. During your first year, you will remain directly involved in our most important customer engagements while significantly scaling the team, and building the repeatable motions that allow the organization to operate without depending on you for every decision. You will have authority over the organization’s structure, hiring, performance, career paths, technical standards, coverage, resource allocation, and operating model. As a member of Dust’s GTM leadership group, you will work closely with Sales, Customer Success, AI Deployment, Product, and Engineering to connect customer ambition, technical execution, and business value. The opportunity is larger than building a traditional SE team. You will define how an AI-native Solutions Engineering organization helps customers move from understanding Dust’s potential to making it a critical part of how their companies operate. What you’ll do Build and lead the Solutions Engineering organization Define the global vision, strategy, and operating model for Solutions Engineering at Dust. Lead the organization across pre-sales and post-sales Solutions Engineering. Design the team structure, leadership model, roles, career paths, coverage model, operating standards, and performance systems. Significantly scale the team across Paris, New York, San Francisco and London. Hire, develop, and manage both Solutions Engineers and future SE leaders. Establish a high talent bar and build a team that combines technical depth, business judgment, executive presence, and customer empathy. Create clear decision rights and operating rhythms across regions and functions. Allocate Solutions Engineering resources based on opportunity complexity, customer impact, strategic importance, and likelihood of success. Build the systems and leadership capacity required for the function to scale without relying on linear headcount growth. Own the technical win Define how Dust qualifies, scopes, and executes complex enterprise technical evaluations. Partner with Sales leadership to improve technical win rate, evaluation conversion, qualified pipeline coverage, and evaluation velocity. Develop the technical strategy for Dust’s most important enterprise opportunities. Build a clear understanding of why Dust wins and loses technical evaluations, then turn those insights into improvements across the organization. Ensure successful evaluations transition into deployment with clear use cases, architecture, dependencies, ownership, and success criteria.