Founding Solutions Engineer, Post-Sales

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 our founding Post-Sales Solutions Engineer at Dust, you will act as the technical partner for our existing customers, ensuring they maximize value from our AI operating system throughout their journey with us. Your primary focus will be driving long-term customer success through high-value use cases, deep adoption, and expansion opportunities that make Dust indispensable to customer workflows. You will work closely with our Customer Success and Product & Engineering teams to deepen customer relationships and drive retention.

• Be instrumental in shaping our global Solutions Engineering organization as one of the first post-sales SE hires in the US

• Help define processes, establish best practices, and lay the foundation for how post-sales technical partnership scales at Dust

• Develop deep expertise in Dust’s platform capabilities, AI workflows, and prompt engineering best practices to become a trusted internal resource for complex customer scenarios

• Act as a trusted technical advisor to Enterprise customers, building long-term relationships with both technical and business stakeholders

• Lead advanced implementation projects including high-value use cases, technical integrations, and custom AI workflows

• Discover customer pain points and help architect scalable agent ecosystems that drive meaningful business outcomes

• Push the boundaries of what customers can accomplish with AI agents and proactively deepen adoption over time

• Partner closely with Customer Success to drive high-value adoption, retention, and expansion across your book of business

• Lead workshops, training sessions, and enablement programs that help customers successfully operationalize Dust

• Communicate complex technical concepts clearly to technical teams, executives, security stakeholders, and end users

• Adapt presentations, demos, and implementation guidance to the needs and technical sophistication of each customer audience

• Champion customer needs with Product and Engineering teams, translating customer feedback, usage patterns, and operational challenges into actionable product insights

• Identify recurring implementation patterns and turn them into reusable frameworks, documentation, and best practices

• Advocate for product improvements that drive better customer outcomes and platform scalability

• Help shape how AI-native post-sales organizations operate as Dust continues to scale

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

• 4+ years in customer-facing technical roles such as Solutions Engineering, Solutions Architecture, Implementation Engineering, Technical Consulting, or Software Engineering

• Strong technical aptitude with the ability to work directly with both engineers and business stakeholders

• Familiarity with APIs, web development, integrations, and lightweight scripting or tooling

• AI fluency beyond prompting; experience building workflows, automations, or agent-based systems using modern AI tools is highly desirable

• Strong discovery and problem-solving skills with the ability to translate ambiguous customer pain points into technical solutions

• Excellent communication skills across workshops, training, implementation, and stakeholder management

• Strong organizational skills and ability to manage multiple parallel customer initiatives simultaneously

• Deeply curious and motivated to become an expert in both Dust’s product and the evolving AI landscape

• Customer-obsessed with a genuine desire to solve meaningful problems and create long-term value

• Highly proactive and resourceful; you don’t wait to be told what needs improvement

• Thrives in ambiguity and fast-moving environments where processes and playbooks are still being defined

• Collaborative and low ego; you work effectively across Customer Success, Product, Engineering, and GTM teams

• High standards and strong execution without needing heavy structure or oversight

• Excited by the opportunity to help define a new category and shape how companies operate with AI

• Operate with strong ownership and drive customer outcomes end-to-end without needing to be micromanaged

• Proactively identify opportunities for account expansion, deeper adoption, and new AI use cases

• Push projects forward independently while knowing when to involve cross-functional partners

• Identify recurring patterns across customer work and turn them into scalable solutions, documentation, or product opportunities

• Advocate for customers with urgency and influence product direction when needed

• Continuously improve how you work and support customers to increase leverage and impact

We're prioritizing building our team with an in-person culture at our offices in Paris, 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.

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.

• 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