Solutions Engineer

ABOUT DUST Work is being rewritten, and the people holding the pen are the ones who actually run it. Dust is the multiplayer AI platform for human-agent collaboration. It gives companies a shared workspace where teams can build, deploy, and manage AI agents connected to their company knowledge, tools, and workflows. 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 https://blog.dust.tt/tag/customer-stories/ like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026. Dust is backed by Sequoia https://techcrunch.com/2024/06/27/dust-grabs-another-16-million-for-its-enterprise-ai-assistants-connected-to-internal-data/ 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 https://www.linkedin.com/posts/dust-tt_were-honored-to-be-recognized-on-the-generalists-activity-7359284343929741313-Rq04. 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 REQUIREMENTS - Meaningful experience