Founding AI Deployment Strategist

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 signals and proactively remove blockers to accelerate customer 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 establish the foundations, best practices, and repeatable systems for Dust’s US deployment motion Requirements Every candidate and employee's success is measured against the same 3 dimensions. Aptitude, Attitude and Agency. Aptitude You’ve led successful digital adoption, enablement, or education initiatives for Enterprise customers in fast-moving technology environments You have experience managing large-scale product rollouts and change management efforts across organizations with 1,000+ employees You can quickly absorb complex product and technical concepts, then translate them into clear, actionable guidance for both technical and non-technical stakeholders You’re hands‑on with AI products and workflows in a professional setting; AI fluency is embedded into how you operate and solve problems You’re comfortable engaging with a broad range of stakeholders, including executives, end users, technical teams, and cross‑functional customer partners You create scalable customer leverage through documentation, enablement content, workshops, and repeatable systems that improve adoption over time Attitude You’re deeply curious and energized by emerging technology, especially AI and the evolving ways teams work You thrive in ambiguity and approach first‑of‑a‑kind problems with creativity, adaptability, and a bias toward elegant, practical solutions You bring a calm, reassuring, and high‑trust presence to customer interactions, especially in high‑stakes or fast‑changing environments You care deeply about customer outcomes and naturally build strong relationships across teams and functions You’re collaborative, low ego, and proactive about sharing feedback, surfacing risks early, and helping the broader team succeed You’re excited by the idea of helping define what great AI adoption and enablement looks like in a category that is still being invented Agency You take ownership end-to-end and operate with a high level of initiative, even when priorities are shifting or requirements are unclear You’ve gone beyond the scope of your role in previous positions by identifying gaps, improving processes, or building resources that didn’t previously exist You can prioritize effectively across competing customer needs and operate with urgency without sacrificing quality You’re comfortable navigating ambiguity, making decisions with incomplete information, and driving projects forward independently You have a strong builder mindset; you create playbooks, frameworks, systems, and scalable approaches rather than solving the same problem repeatedly You’ve demonstrated the ability to drive meaningful adoption, retention, expansion, or organizational change through your own initiative and execution Nice to Have Prior experience in consulting, customer success, solutions engineering, enablement, or other customer‑facing SaaS roles Experience working with Enterprise customers in highly collaborative or transformational deployments Familiarity with AI‑native workflows, prompt engineering, or agent‑based platforms You should still consider applying even if you don’t meet every requirement above. We care deeply about curiosity, ownership, adaptability, and the desire to help our customers succeed. Compensation and Benefits 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 #J-18808-Ljbffr Dust