Founding Solutions Engineer, Post-Sales

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 https://dust.tt/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 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. TLDR; As our founding Post-Sales Solutions Engineer at Dust, you will act as the technical partner for our existing customers, ensuring they maximize value from our AI operating system throughout their journey with us. Your primary focus will be driving long-term customer success through high-value use cases, deep adoption, and expansion opportunities that make Dust indispensable to customer workflows. You will work closely with our Customer Success and Product & Engineering teams to deepen customer relationships and drive retention. WHAT YOU'LL DO HELP BUILD DUST’S POST-SALES SOLUTIONS ENGINEERING FUNCTION FROM THE GROUND UP - Be instrumental in shaping our global Solutions Engineering organization as one of the first post-sales SE hires in the US - Help define processes, establish best practices, and lay the foundation for how post-sales technical partnership scales at Dust - Develop deep expertise in Dust’s platform capabilities, AI workflows, and prompt engineering best practices to become a trusted internal resource for complex customer scenarios SERVE AS A STRATEGIC TECHNICAL PARTNER TO CUSTOMERS - Act as a trusted technical advisor to Enterprise customers, building long-term relationships with both technical and business stakeholders - Lead advanced implementation projects including high-value use cases, technical integrations, and custom AI workflows - Discover customer pain points and help architect scalable agent ecosystems that drive meaningful business outcomes - Push the boundaries of what customers can accomplish with AI agents and proactively deepen adoption over time DRIVE CUSTOMER ADOPTION, ENABLEMENT, AND EXPANSION - Partner closely with Customer Success to drive high-value adoption, retention, and expansion across your book of business - Lead workshops, training sessions, and enablement programs that help customers successfully operationalize Dust - Communicate complex technical concepts clearly to technical teams, executives, security stakeholders, and end users - Adapt presentations, demos, and implementation guidance to the needs and technical sophistication of each customer audience BRIDGE CUSTOMER FEEDBACK WITH PRODUCT EVOLUTION - Champion customer needs with Product and Engineering teams, translating customer feedback, usage patterns, and operational challenges into actionable product insights - Identify recurring implementation patterns and turn them into reusable frameworks, documentation, and best practices - Advocate for product improvements that drive better customer outcomes and platform scalability - Help shape how AI-native post-sales organizations operate as Dust continues to scale REQUIREMENTS Every candidate and employee's success is measured against the same 3 dimensions. Aptitude, Attitude and Agency. APTITUDE - 4+ years in customer-facing technical roles such as Solutions Engineering, Solutions Architecture, Implementation Engineering, Technical Consulting, or Software Engineering - Strong technical aptitude with the ability to work directly with both engineers and business stakeholders - Familiarity with APIs, web development, integrations, and lightweight scripting or tooling - AI fluency beyond prompting; experience building workflows, automations, or agent-based systems using modern AI tools is highly desirable - Strong discovery and problem-solving skills with the ability to translate ambiguous customer pain points into technical solutions - Excellent communication skills across workshops, training, implementation, and stakeholder management - Strong organizational skills and ability to manage multiple parallel customer initiatives simultaneously ATTITUDE - Deeply curious and motivated to become an expert in both Dust’s product and the evolving AI landscape - Customer-obsessed with a genuine desire to solve meaningful problems and create long-term value - Highly proactive and resourceful; you don’t wait to be told what needs improvement - Thrives in ambiguity and fast-moving environments where processes and playbooks are still being defined - Collaborative and low ego; you work effectively across Customer Success, Product, Engineering, and GTM teams - High standards and strong execution without needing heavy structure or oversight - Excited by the opportunity to help define a new category and shape how companies operate with AI AGENCY - Operate with strong ownership and drive customer outcomes end-to-end without needing to be micromanaged - Proactively identify opportunities for account expansion, deeper adoption, and new AI use cases - Push projects forward independently while knowing when to involve cross-functional partners - Identify recurring patterns across customer work and turn them into scalable solutions, documentation, or product opportunities - Advocate for custo