Solutions Engineer at Dust, an AI agent platform for enterprises. Role bridges sales and customers, delivering tailored product demos, guiding technical evaluations, and building lightweight prototypes to showcase real-world AI use cases.
Work is being rewritten, and the people holding the pen are the ones who actually run it.
We call them AI operators: the employees inside companies who build, deploy, and run AI agents for their teams, without waiting for someone to hand them a tool. Dust is the platform they choose to rewire how their company works.
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 like Datadog, 1Password, Cursor, Clay, and Persona, and aim to x5 our growth by the end of 2026.
Dust is backed by Sequoia 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.
As a Solutions Engineer at Dust, you’ll serve as the technical bridge between Sales and prospective customers, demonstrating how our AI platform transforms the way teams work.
You’ll partner closely with prospects to identify high-impact use cases, deliver tailored demonstrations, and guide technical evaluations from initial discovery through successful pilot deployments. This is a highly hands-on role, where you’ll help customers move beyond concepts and into real, working implementations on Dust.
You’ll work cross-functionally with Sales, Customer Success, and Product & Engineering to ensure every engagement clearly demonstrates business impact and sets customers up for long-term success.
Help build our global Pre-Sales Solutions Engineering team as one of our first US hires, shaping processes, best practices, and the foundation for future growth
Partner with Sales to clearly articulate Dust’s value to both technical and business stakeholders
Lead technical discovery to identify high-value use cases aligned with customer workflows
Deliver tailored, high-impact product demonstrations grounded in real customer problems
Own the technical evaluation end-to-end, from discovery and custom demos through hands-on pilots
Onboard prospects onto the platform and guide them in deploying real use cases during pilot phases
Build lightweight prototypes, agents, or integrations to demonstrate practical applications of Dust
Translate customer needs into actionable feedback for Product & Engineering, ensuring insights inform product direction
Develop deep expertise in Dust’s product, platform capabilities, and prompt engineering best practices
Experience in roles that combine technical depth with customer-facing work (e.g. Solutions Engineering, Forward Deployed Engineering, Technical Consulting)
Proven success supporting complex, consultative sales cycles with multiple stakeholders
Strong technical aptitude, including familiarity with APIs and integrating software systems
Experience building customer-facing demos or prototypes in a pre-sales or post-sales context
Strong communication skills, with the ability to translate complex technical concepts into clear business value
Experience helping customers adopt and derive value from complex software platforms
Comfortable operating in fast-paced, early-stage environments and collaborating cross-functionally
Interest in or experience with generative AI and prompt engineering
Nice to have
Experience working with AI/ML technologies, particularly generative AI and LLMs
Background in productivity tools, knowledge management, or workflow automation
Ability to write code (e.g. Python, JavaScript) to work with APIs and build demos or prototypes
Benefits and Compensation
For this role, the estimated base salary range is between $135,000 to $220,000 a year. (Please note, we are hiring at different levels).
Base salaries are just one component of the total compensation package and are determined by a number of factors such as years of experience, expertise, qualifications and more. The salary range is a guideline that is subject to change without notice.
Significant equity package at a Sequoia-backed startup
Health insurance for you and your dependents
New MacBook Pro or Linux machine, monitor, keyboard, etc.
Opportunity to travel to the EU multiple times a year
Regular team events and off-sites
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.
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, 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 our cofounder, Stanislas Polu, 2024