About the role
About Dust We're creating a new AI operating system that has the potential to change the way companies operate . Our mission at Dust is to transform how work gets done by letting any team and employee shape the exact agents they need to accelerate their work. With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We already are a core part of their jobs. We're at an exciting stage of our journey and growing fast. We're serving great customers like Cursor, Clay, Whatnot, and Persona, and aim to 5x our growth by the end of 2026. Dust is a Sequoia-backed company with an experienced and determined team of optimists (coming from companies like Stripe and OpenAI) that likes to focus on users, getting great things done by shipping fast, and doesn’t take itself too seriously while doing so. 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 ensure successful customer engagements. Our culture Product-First : Unlike others focused on building foundation models, we're laser-focused on creating delightful product experiences with existing LLMs. Small, High-Impact Team : Join a team of alumni from Stripe, Square, OpenAI, and other top tech companies. We're intentionally keeping our team small and mighty – every individual has massive scope and impact. Transparency & Collaboration: Our repository is open source, and we leverage serendipity between team members. We believe the best ideas emerge when
the team shares information and insights openly. Proactive Problem-Solving : If you see something broken, fix it—without waiting for permission. We don't wait for solutions - we create them. Ship to Learn : We move fast and learn from real user feedback. Intellectual Humility : We value strong convictions balanced with open-mindedness. Team members confidently advocate for their ideas while remaining receptive to new perspectives and evidence 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 use-cases to completion Represent the voice of the customer with Product & Engineering teams to ensure 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