Software Engineer
€30k - €150k EUR
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
We are seeking a talented Software Engineer to join our team. You will be responsible for framing and building high-value features and pieces of infrastructure in this role.
As a Software Engineer, you’ll engage with technologies like Typescript, React.js, Node.js, Rust, shadcn, Kubernetes, Helm, Terraform, Elasticsearch, QDrant, PostgreSQL.
Dust on Dust: as engineers, we have the incredible chance to work on a product we use every day.
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, Front, OpenAI, and other top tech companies. We're intentionally keeping our team small and mighty – every engineer 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
Own critical features end-to-end: Design and implement core product experiences that directly impact how users interact with AI.
Scope and lead technical projects to completion with an eye on the full stack and a mind for opinionated prioritization.
Collaborate closely with users: Work directly with customers to understand their needs and rapidly iterate on solutions.
Build for scale: Design and implement systems that gracefully handle increasing complexity while maintaining simplicity for users.
Tech Stack Highlights
Dust for Dust: We use Dust for Coding, debugging, knowledge search (runbooks, codebase), incident management, and task automation (i.e., creating issues).
Programming languages: TypeScript, Rust (not a requirement; we’re open to people who are experts in other programming languages).
Other relevant tools and technologies:
Front end: React, shadcn
Backend: NextJS, Kubernetes, Terraform/Helm
Database: PostgreSQL, QDrant, Elasticsearch
DevOps: Datadog monitoring, Github actions-based CI/CD
Benefits & Compensation
Competitive compensation: €30K - €150K* base salary
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.
Beautiful office in the heart of Paris
Opportunity to travel to the US multiple times a year
Regular team events and offsites
Dust Engineering Salary Grid
Regarding compensation culture, we're going to lean towards Netflix's early philosophy: we are happy to review levels and compensation as early and as often as it makes sense to do so, not when the calendar says so.
Regarding expectations associated with levels, we're including a very broad definition of each level below. When attributing a level at hiring, the expectation is for you to perform comfortably at this level within your first year. We'll set up catch-up times throughout that first year to keep track of your progress and communicate clearly whether you're matching these expectations.
- Level I: Limited prior experience, learning the ropes
- Level II: Level I + Autonomy
- Level III: Level II + Rigorous dependability
- Level IV: Level III + Excellence
- Level V: Level IV + Leadership
- Level VI: Level V + Impact on company trajectory
*We can go higher for outstanding profiles.
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)