Founding Engineer
Gamut
Founding Engineer
Gamut
Synthetic data platform for privacy-compliant AI
Gamut is building the agent workforce. We're a seed-stage team backed by Human Capital (SpaceX, Snowflake, Anduril) building a platform that allows non-engineers to build AI employees that get the whole job done. Early customers are already automating several hours of their workday across their most complicated tasks in sales, marketing, ops, etc.
We're hiring people who want to build, not manage. If you want to work on hard problems with a small team that ships, this is the place.
As a founding full-stack engineer, you’ll own the application layer of our platform - from observability and permissions to the control plane and user-facing dashboards that make our agent infrastructure usable and delightful. You’ll work across the stack, turning complex systems into simple, powerful tools for developers.
You will:
Build the agent interface that non-technical users interact with daily, where they assign tasks, watch agents work, and review results.
Design and implement the backend systems that orchestrate agent sessions, enforce permissions and guardrails, and capture activity logs.
Lead architecture decisions around system design, scalability, and reliability.
Lead & influence product decisions.
Work directly with early customers to understand pain points and shape our roadmap.
Own features end to end - from concept through design, implementation, launch, and iteration.
This role is in-office, 5 days/week, based in San Francisco.
We’re looking for product-minded engineers who love building polished, high-leverage infrastructure and tools. You should be comfortable working across the stack and owning large, impactful projects from day one.
Building full-stack web applications with modern frameworks (React, Next.js, TypeScript, Node.js, etc.)
Shipping fast and iterating quickly
Deploying and scaling applications in the cloud (AWS, Terraform, Docker, Kubernetes, etc.)
Thriving in high-agency, high-ownership environments
Competitive salary, based on experience level (Annual compensation range: $50,000 to $500,000)
Meaningful equity
Health, dental, and vision coverage
Opportunity to be a founding member of a growing company
Datomize (Datawizz) provides a platform that creates high-fidelity synthetic data to replace real data for AI/ML training and testing, while removing any personal identifiers to meet privacy laws. The product mimics the behavior and relationships of production data, including complex relational structures, and can scale to thousands of tables and millions of records. It differentiates itself by delivering privacy-safe data with strong fidelity suitable for regulated industries like finance, addressing the data-shortage bottleneck to speed development. The goal is to help teams train and test models faster and launch new applications quickly without risking privacy or regulatory issues.
Explore more opportunities at Gamut