About Dust

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.

This Role

As an AI Deployment Strategist, you'll drive transformational AI adoption for Dust Enterprise customers. You’ll serve as a trusted product expert from first touch through scale, leading onboarding, training, and strategic enablement programs that translate business challenges into high-impact use cases with measurable outcomes.

As our first US-based AI Deployment Strategist, you’ll help shape a new product category from the ground up in a fast-paced environment where ownership and impact define success.

Responsibilities

• Lead the Customer Deployment Journey (first 60–90 days) for our strategic customers

  • Partner with customers as a trusted advisor to define deployment goals aligned with business objectives

  • Design and deliver persona-specific enablement sessions, from first-time users to executive stakeholders

  • Identify and unlock high-impact use cases across customer organizations

  • Monitor adoption metrics and proactively remove blockers to accelerate value realization

• Drive Strategic Enablement Programs

  • Design scalable programs that connect customer goals with Dust’s product capabilities

  • Create high-quality educational content, including guides, playbooks, and learning materials that enable customer self-sufficiency

  • Build the foundation of Dust’s customer education platform from the ground up

  • Partner closely with Sales and Customer Success to refine deployment and handoff processes

• Product & Organizational Impact

  • Act as the voice of the customer, sharing insights that inform product development in a rapidly evolving GenAI landscape

  • Help build and scale Dust’s US operations by establishing best practices and repeatable processes

Requirements

• Proven impact in developing and deploying successful digital adoption and education strategies for Enterprise customers in a rapidly evolving tech landscape

• Experience owning at-scale product roll-outs for organizations of 1,000 employees and more

• Hands-on experience using AI products in a professional context

• Ability to absorb complex product knowledge and effectively communicate technical concepts to drive customer adoption and success.

• Curiosity, eagerness to learn, adaptability, and a flair for elegant solutions to first-of-a-kind problems.

• Robust prioritization and multitasking skills to operate with a high level of ownership and initiative alongside demanding users and in an emerging field.

• Excellent communication skills in English to effectively engage with a diverse range of stakeholders, including C-levels.

• Prior experiences in consulting or in roles tasked with driving adoption, retention and expansion for customers, preferably in the SaaS industry.

You should still consider applying, even if you don’t strictly meet all the requirements above, as long as you have the desire and determination to apply your experience in the service of our users.

Benefits & Compensation

• Competitive compensation: $150,000 to $220,000 a year

• Significant equity package at a Sequoia-backed startup

• Health benefits 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

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

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