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 like Datadog, 1Password, Cursor, Clay, Vanta 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.

Summary

We're looking for a Revenue AI Operations builder to help Dust scale toward $100M in ARR. You'll work closely with GTM teams to identify friction across the customer lifecycle to build AI-powered workflows for the entire GTM engine. This is a high-scope, high-leverage role on a small team: you'll be dogfooding Dust to reinvent how revenue operations get done, and your work will directly shape how fast we grow

What you'll do

GTM AI Workflow Ownership

• Own the design and delivery of AI-powered workflows end-to-end across Marketing, Sales, and CS, from identifying repetitive work to building, launching, and improving the solution.

• Automate high-friction parts of the customer lifecycle, including meeting prep and follow-up, deal and account workflows, and renewals.

• Instrument each workflow so it's measurable, repeatable, and scales, keeping data clean and trusted in HubSpot

• Identify what can be automated and design a clear hand-off for what still requires a human.

Build with Dust

• Be one of Dust's most demanding internal users: put the product to work on real GTM challenges and push beyond today's standard use cases.

• Partner directly with Product and Engineering, bringing them concrete feedback from building and using Dust at scale.

• Turn what you learn internally into reusable examples that help customers see what's possible with Dust.

Requirements

Every candidate and employee's success is measured against the same 3 dimensions. Aptitude, Attitude and Agency.

Aptitude

• 2-5 years in revenue/sales operations, consulting, VC, or a comparable analytical, high-ownership role

• Strong CRM fluency, ideally HubSpot, plus automation tools (Zapier, Make, n8n)

• Proven project management: you scope, sequence, and ship cross-functional work without dropping details

• Bonus: B2B SaaS or AI/ML experience, familiarity with the modern GTM stack (Clay, Lemlist, Common Room), and sales methodologies (MEDDIC, BANT)

Attitude

• You make the people around you more effective; sales leaders come to you because your work makes their jobs easier

• You thrive in a fast-paced startup, stay calm in ambiguity, and bring structure rather than friction

• You communicate clearly and keep cross-functional partners aligned

• You're intellectually humble: strong opinions, held loosely, updated on evidence

• You care about craft and sweat the details, because in RevOps the details are the trust

Agency

• You drive outcomes proactively and don't wait to be told what to fix

• You own problems end-to-end, from spotting the issue to shipping the system that prevents it

• You make decisions autonomously and default to action

• You act like a true business partner, taking initiative on behalf of the leaders you support

• You see leverage where others see manual work, and you build for it

Compensation and Benefits

• €50k-€80k base salary

• Equity package in a Sequoia-backed startup

• 🏡 We offer substantial support for relocation (up to 10k€), including finding an apartment in Paris and supporting you with the visa procedure

• Health insurance for you and your dependents

• New MacBook Pro or Linux machine, monitor, keyboard, etc.

• Beautiful office in the heart of Paris

• Opportunity to travel to the US multiple times a year

• Regular team events and offsite

We can go higher for outstanding 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, a story about our mission

• Your Next Co-Worker Isn’t Human, 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, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.