Software Engineer, Full Stack Developer, Cloud Engineer - Software

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'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 x6 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.

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, Postgre

SQL.

Dust on Dust: as engineers, we have the incredible chance to work on a product we use every day.

• 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, 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.

• 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.

• Dust for Dust: We use Dust for Coding, debugging, knowledge search (runbooks, codebase), incident management, and task automation (i.e., creating issues).
• Programming languages:
  Type Script, 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:
    Postgre
    
    SQL, QDrant, Elasticsearch
  • Dev Ops:
    Datadog monitoring, Github actions-based CI/CD

• 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 Mac Book 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

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…