Dust

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. THE ROLE Support at Dust is not a cost center. It is one of the most important product surfaces we own. As a Senior AI Support Engineer, you will help define what world-class support looks like in an AI-native company. You will not just resolve tickets. You will own the systems, agents, workflows, and feedback loops that make support better, faster, and more scalable over time. This is a senior individual contributor role for someone who has already operated close to support strategy, technical escalation, user experience, and automation. You should be excited by the idea of taking recurring customer pain and turning it into durable systems: better agents, better documentation, better internal tooling, sharper product feedback, and fewer repeat issues. The best person for this role is not a traditional support leader who wants to manage a queue from a distance. It is someone with strong technical instincts, a deep user mindset, and a track record of building support systems that change how a team operates. You might be a great fit if you have built an AI-powered support function, owned support tooling at scale, worked deeply with LLMs or automation, or carried a support strategy from problem discovery through implementation and measurement. WHAT YOU WILL OWN BUILDING THE AI SYSTEMS THAT MAKE SUPPORT SCALE You will design, build, and continuously improve the AI-powered systems that help Dust support customers with speed and quality. This includes agents for ticket classification, auto-acknowledgement, response drafting, internal routing, proactive incident detection, knowledge retrieval, and escalation support. You will identify categories of recurring issues and engineer them out of the support queue. Sometimes that means building a better Dust agent. Sometimes it means improving documentation, creating an internal tool, tightening a workflow, writing a script, or escalating product feedback upstream with enough context for engineering to act. You will be expected to measure whether the systems you build actually improve the user experience. Seniority here means not just shipping tooling, but knowing what good looks like, instrumenting it, and iterating until the impact is visible. RUNNING COMPLEX SUPPORT WHEN THE SYSTEMS FALL SHORT You will still be close to the work. You will investigate complex customer issues across logs, code, internal tooling, product behavior, and agent outputs. You will provide clear, accurate answers to customers, including when the underlying issue is ambiguous or technically complex. You will handle escalated cases with precision and judgment, communicating clearly with both technical and non-technical users. You should be comfortable translating between customer language, product behavior, engineering detail, and business impact. When AI-generated responses are incomplete, inconsistent, or wrong, you will debug the system behind them. You will improve prompts, knowledge sources, workflows, routing, tooling, and escalation paths so that the same failure mode does not repeat. SHAPING THE SUPPORT STRATEGY You will help define how Dust should run support as we scale. That means thinking beyond the queue and owning the full loop: what customers experience, what support sees, what agents can handle, what engineering needs to fix, and what product should learn. You will translate repeated customer pain into high-quality product signal. You will build strong working relationships with engineers and product teams so escalations are high-context, actionable, and efficient. You will also help raise the bar for how the support function operates: what we measure, how we prioritize, how we review quality, how we onboard junior team members, and how we decide what should be automated versus handled by a human. WHAT WE ARE LOOKING FOR Every candidate and employee’s success at Dust is measured against the same three dimensions: Aptitude, Attitude, and Agency. APTITUDE You have strong technical depth. You are comfortable with APIs, web applications, logs, scripts, and internal tools. You can navigate a codebase, reason through product behavior, and troubleshoot systems without being stopped by a stack trace. You have genuine AI fluency at builder level. You have built agents, automations, workflows, or internal tools using AI systems such as Dust, Cursor, Claude Code, n8n, GPT-4, Claude, Mistral, Gemini, or similar platforms. You are not just good at prompting. You understand how to turn AI into operational leverage. You have experience operating at the strategy layer of support, not only at the ticket layer. You have owned or helped shape support systems, support tooling, escalation workflows, deflection strategy, knowledge management, or AI support operations. You can balance technical accuracy with user experience. You care about whether the customer understood the answer, whether the product pain was addressed, and whether the issue will happen again. You are able to communicate bidirectionally: clearly enough for customers, technically enough for engineers, and strategically enough for leadership. ATTITUDE You combine resilience with empathy. This is a front-line role, and customer frustration is often direct and unfiltered. You do not take it personally, but you do take it seriously. You are proactive rather than reactive. You do not wait for a perfect problem statement from the customer. You investigate, infer, clarify, and anticipate what they may need next. You have strong prioritization judgment. You know what needs an immediate human response, what can be automated, what should be escalated, and what should become product feedback. You are comfortable setting boundaries. You do not say yes to everything, and you can explain tradeoffs clearly in a way that builds trust rather than eroding it. You care about the craft of support. You see support as a product experience, not a back-office function. AGENCY You turn patterns into systems. When you see the same issue twice, you start asking whether it should exist at all. You go deep before escalating. You investigate as far as you reasonably can, so that when you involve engineering or product, they receive a clear problem statement, relevant evidence, and a useful recommendation. You build without waiting for permission. If you see a gap in the support system, you are excited to prototype, test, and ship a better version. You continuously improve your own workflows. You treat your time, your tools, and your operating system as things worth debugging. You extract product opportunities from customer interactions. You do not let support signal disappear into a solved ticket. You close the loop. WHAT STRONG CANDIDATES MAY HAVE DONE BEFORE You may have: - Built or led an AI-powered support function - Designed support agents, internal copilots, escalation workflows, or deflection systems - Owned technical support tooling, support operations, or automation at a fast-growing software company - Worked as a senior support engineer, technical support engineer, developer support engineer, support ops engineer, solutions engineer, or implementation engineer - Built a support product, internal platform, AI startup, or automation-heavy support system - Operated in a high-volume environment where quality, speed, and judgment all mattered We care more about the depth and relevance of your experience than the exact number of years. That said, we expect this role to be a fit for someone who has already spent several years close to technical support, support engineering, AI tooling, or support systems ownership. WHAT THIS ROLE IS NOT This is not a traditional customer support role focused only on ticket resolution. It is not a people-management role where you are far away from the technical work. It is not a pure operations role where you optimize process without building. It is not a role for someone who is curious about AI but has not yet built with it. The person we are looking for should be excited to own the messy middle between customers, AI agents, internal tooling, engineering, and product. COMPENSATION AND BENEFITS - Competitive compensation - Significant equity package in a Sequoia-backed startup - Substantial relocation support, up to 10k€, including help finding an apartment in Paris and support with the visa process - Health insurance for you and your dependents - New MacBook Pro or Linux machine, monitor, keyboard, and equipment - Beautiful office in the heart of Paris - Opportunity to travel to the US multiple times a year - Regular team events and offsites We can go higher for exceptional profiles. LOCATION We're prioritizing building our team with an in-person culture at our offices in Paris, London, San Francisco, and New York because we value the magic that happens when talented people work closely together. We have an office-first culture. Some of the best things about building at Dust are the energy, the fast decisions, and the unexpected conversations that unlock a hard problem, which happen because we are in the same room. Being together is not a formality, it is how we do our best work, and it is something we actively protect. That said, we hire people with strong judgement and we extend that trust to how they manage their time. When working from home makes more sense for what you need to get done that day, we trust you to make that call. WHY DUST The models are powerful enough. What's missing is the product layer where AI meets how companies actually work. That's what we're building: the infrastructure that lets any team turn scattered knowledge and tools into coordinated execution with agents they build, own, and run themselves. We use Dust ourselves every day. We get to shape how humans and agents collaborate while solving our own problems with the product we ship. That loop is rare, and it's why we move fast. If you're excited about defining a new category and want to join a determined team of optimists who focus on users, ship fast, and don't take themselves too seriously, 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, https://blog.dust.tt/a-first-version-of-our-product-constitution/ a story about our mission - Your Next Co-Worker Isn’t Human https://www.youtube.com/watch?v=xIvlRWEXqqw, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them. - Dust: Gabriel Hubert on Enterprise AI https://www.nasdaq.com/videos/dust, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.

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. 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 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 aptitude with understanding of API concepts and generative AI prompt engineering principles - Passionate about educating customers of various backgrounds on new technologies - Ability to speak to both the technical and business value of a solution - Experience collaborating with cross-functional teams in fast-paced environments Ideal, But Not Required: - Experience with AI/ML technologies, particularly generative AI and LLMs - Background in productivity tools, knowledge management, or workflow automation - Coding experience to understand API implementations and create custom demos BENEFITS & COMPENSATION - Competitive compensation based on experience - We offer substantial support for relocation, including a stipend up to €10k, finding an apartment in Paris, and supporting you with all residence and work permit-related procedures - Significant equity package in a Sequoia-backed startup - Health insurance for you and your dependents - New MacBook Pro or Linux machine, monitor, keyboard, etc. - Regular team events and offsites LOCATION We're prioritizing building our team with an in-person culture at our offices in Paris, London, San Francisco, and New York because we value the magic that happens when talented people work closely together. We have an office-first culture. Some of the best things about building at Dust are the energy, the fast decisions, and the unexpected conversations that unlock a hard problem, which happen because we are in the same room. Being together is not a formality, it is how we do our best work, and it is something we actively protect. That said, we hire people with strong judgement and we extend that trust to how they manage their time. When working from home makes more sense for what you need to get done that day, we trust you to make that call. WHY DUST The models are powerful enough. What's missing is the product layer where AI meets how companies actually work. That's what we're building: the infrastructure that lets any team turn scattered knowledge and tools into coordinated execution with agents they build, own, and run themselves. We use Dust ourselves every day. We get to shape how humans and agents collaborate while solving our own problems with the product we ship. That loop is rare, and it's why we move fast. If you're excited about defining a new category and want to join a determined team of optimists who focus on users, ship fast, and don't take themselves too seriously, 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, https://blog.dust.tt/a-first-version-of-our-product-constitution/ a story about our mission - Your Next Co-Worker Isn’t Human https://www.youtube.com/watch?v=xIvlRWEXqqw, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them. - Dust: Gabriel Hubert on Enterprise AI https://www.nasdaq.com/videos/dust, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.