Solutions Engineer Post-Sales

requirements and roadmap priorities Be instrumental in building our global Solutions Engineering organization from the ground up as our first post-sales SE hires, with the opportunity to define processes, establish best practices, and lay the groundwork for future team expansion

Requirements 4+ years in a combination of technical and customer-facing roles (e.g. software engineering, solutions architect, implementation engineer). An action-oriented and organized self-starter mindset who isn’t afraid to get scrappy to solve customer issues. A strong work ethic and commitment to excellence. A deep interest in understanding customer needs and the desire to become an expert on Dust’s product. Strong relationship-building skills with ability to establish yourself as a trusted technical advisor Effective multitasking and prioritization skills under pressure and in ambiguous situations across a wide variety of tasks. Demonstrated ability to work collaboratively with cross-functional teams to achieve shared goals. A data-driven mindset that can interpret customer feedback and behavior. A passion for technology, problem-solving, and a commitment to your customers’ success. High technical aptitude, with an ability to work directly with engineers as well as business stakeholders. Experience with APIs, web development, and writing scripts to build internal tools is a plus. Familiarity with LLMs like GPT-4, Claude, Mistral or Gemini is highly desirable. Location We're prioritizing building our team with an in-person culture at our offices in Paris and San Francisco, because we value the magic that happens when talented people work closely together. Why Dust We're not building yet another enterprise SaaS tool. We’re creating an AI OS that will fundamentally change how companies operate. We believe existing AI models are powerful enough to have a tremendous impact on the world (and will keep getting better). The key is building the infrastructure so they have the right context, and building the best interfaces for humans to interact with them. We have the unique opportunity to explore and shape the way humans interact with machines while building a product we use ourselves every day. If you're excited about crafting products that reinvent B2B software and want to join a team that combines the best of startup culture with the backing of top-tier investors, we'd love to talk. 👋 Even if you don't check every box in our

requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist. ___ Learn how we think and work. Our product constitution : a story about our mission Agents at Work - Latent Space podcast with our cofounder, Stanislas Polu (2024) LLMs reasoning and agentic capabilities over time - dotAI podcast with Stanislas Polu (2024)

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