About Dust

We're creating a new AI operating system that has the potential to change the way companies operate. Our mission at Dust is to transform how work gets done by letting any team and employee shape the exact agents they need to accelerate their jobs.

With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We already are a core part of their jobs.

We are at an exciting stage of our journey. We‘ve raised our Series A, expanded in the US, and hit the $1m and $2m ARR milestones in 2024; we aim to x5 our growth by the end of 2025.

Dust is a Sequoia-backed company with an experienced and determined team of optimists (coming from companies like Stripe or OpenAI) that like to focus on users, getting great things done by shipping fast, and doesn’t take itself too seriously while doing so.

TL;DR

As a Solutions Engineer at Dust, you will act as the technical bridge between our sales team and prospective customers, demonstrating how our AI operating system transforms and adds value to their workflows. Your primary focus will be partnering with customers to showcase our solution through technical demonstrations, use case scoping and supporting technical evaluations. You will work closely with our Sales, Customer Success, and Product & Engineering teams to ensure successful customer engagements.

Our culture

• Product-First: Unlike others focused on building foundation models, we're laser-focused on creating delightful product experiences with existing LLMs. Think “No GPUs before PMF”.

• Small, High-Impact Team: Join a team of alumni from Stripe, Square, OpenAI, and other top tech companies. We're intentionally keeping our team small and mighty – every individual has massive scope and impact.

• Transparency & Collaboration: Our repository is open source, and we leverage serendipity between team members. We believe the best ideas emerge when the team shares information and insights openly.

• Proactive Problem-Solving: If you see something broken, fix it—without waiting for permission. We don't wait for solutions - we create them.

• Ship to Learn: We move fast and learn from real user feedback.

• Intellectual Humility: We value strong convictions balanced with open-mindedness. Team members confidently advocate for their ideas while remaining receptive to new perspectives and evidence that might change their minds. If new data emerges, we adapt quickly.

What you’ll do

• Be instrumental in building our global Solutions Engineering organization from the ground up as our founding US Solutions Engineer, with the opportunity to define processes, establish best practices, and lay the groundwork for future team expansion

• Partner with the Sales team to articulate Dust’s value proposition to our prospects and customers and set them up for success

• Provide compelling product demonstrations that showcase Dust's capabilities to both technical and business stakeholders

• Help customers identify high-value use cases that align with Dust's capabilities and their specific business needs

• Own the technical evaluation end-to-end from customized demos to pilots, helping prospects by onboarding them onto the platform and driving pilot use-cases to completion

• Represent the voice of the customer with Product & Engineering teams to ensure insights and feedback are being implemented into product strategy

• Develop and maintain deep expertise in Dust's product, platform capabilities and prompt engineering best practices

Requirements

• Meaningful experience in a combination of technical and customer-facing roles

• Proven track record of helping customers unlock value from sophisticated software products

• Experience conducting effective technical demonstrations and translating complex concepts to diverse audiences

• Excellent communication and presentation skills with the ability to engage technical and business stakeholders

• Strong technical aptitude with understanding of API concepts and generative AI prompt engineering principles

• Passionate about educating customers of various backgrounds on new technologies

• Ability to speak to both the technical and business value of a solution

• Experience collaborating with cross-functional teams in fast-paced environments

Ideal, But Not Required:

• Experience with AI/ML technologies, particularly generative AI and LLMs

• Background in productivity tools, knowledge management, or workflow automation

• Coding experience to understand API implementations and create custom demos

Benefits & Compensation

• Competitive compensation based on experience

• Significant equity package in a Sequoia-backed startup

• Health insurance for you and your dependents

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

• Regular team events and offsites

Location

We're building our team with an in-person culture at our offices in Paris and San Francisco, prioritizing the magic that happens when talented people work closely together.

Why Dust

We're not building yet another enterprise SaaS tool. We’re creating an AI OS that will fundamentally change how companies operate. We believe existing AI models are powerful enough to have a tremendous impact on the world (and will keep getting better) – the key is building the infrastructure so that they have context and explore the best interfaces for humans to interact with them.

We have the unique opportunity to explore and shape the way humans interact with machines while working on a product we use ourselves every day.

If you're excited about crafting products that reinvent B2B software and want to join a team that combines the best of startup culture with the backing of top-tier investors, 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.

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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