Solutions Engineer

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. TL;DR As a Solutions Engineer at Dust, you will act as the technical bridge between our sales team and prospective customers, demonstrating how our AI operating system transforms and adds value to their workflows. Your primary focus will be partnering with customers to showcase our solution through technical demonstrations, use case scoping and supporting technical evaluations. You will work closely with our Sales, Customer Success, and Product & Engineering teams to e [... source excerpt omitted ...] ence that might change their minds. If new data emerges, we adapt quickly. What you’ll do Partner with the Sales team to articulate Dust’s value proposition to our prospects and customers and set them up for success Provide compelling product demonstrations that showcase Dust's capabilities to both technical and business stakeholders Help customers identify high-value use cases that align with Dust's capabilities and their specific business needs Create and configure custom LLM agents in Dust to demonstrate practical applications Own the technical evaluation end-to-end from customized demos to pilots, helping prospects by onboarding them onto the platform and driving pilot [... source excerpt omitted ...] re insights and feedback are being implemented into product strategy Develop and maintain deep expertise in Dust's API capabilities and prompt engineering best practices Educate customers on how to maximize value from generative AI within their workflows Requirements Meaningful experience in a combination of technical and customer-facing roles Proven track record of helping customers unlock value from sophisticated software products Experience conducting effective technical demonstrations and translating complex concepts to diverse audiences Excellent communication and presentation skills with the ability to engage technical and business stakeholders Strong technical apti