Solutions Engineer
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 work.
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're at an exciting stage of our journey and growing fast. We're serving great customers like Cursor, Clay, Whatnot, and Persona, and aim to 5x our growth by the end of 2026.
Dust is a Sequoia-backed company with an experienced and determined team of optimists (coming from companies like Stripe and OpenAI) that likes 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.
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
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
Create and configure custom LLM agents in Dust to demonstrate practical applications
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 API capabilities and prompt engineering best practices
Educate customers on how to maximize value from generative AI within their workflows
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
We offer substantial support for relocation, including a stipend up to €10k, finding an apartment in Paris, and supporting you with all residence and work permit-related procedures
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 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
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 they have the right context, and building 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 building 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 Stanislas Polu (2024)