Gamut
Founding Engineer - Full Stack
San Francisco
Sponsorship not specified$50k-$500kDetected 310 days ago
TypeScriptReactNext.jsNode.jsFull-Stack DevelopmentSnowflakeAWSDockerKubernetesTerraform
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odds of building a lasting career here
37Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
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About the role
- Work directly with early customers to understand pain points and shape our roadmap.
- This role is in-office, 5 days/week, based in San Francisco.
- You'll work across the stack, turning complex systems into simple, powerful tools for developers.
Responsibilities
- Datawizz is building the agent workforce.
- We're hiring people who want to build, not manage.
- 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.
- Own features end to end - from concept through design, implementation, launch, and iteration.
- 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.
Skills
- Deploying and scaling applications in the cloud (AWS, Terraform, Docker, Kubernetes, etc.)
Compensation
- $50,000-$500,000)
- Competitive salary, based on experience level (Annual compensation range: $50,000-$500,000)
Benefits
- Meaningful equity
Company info
- Early customers are already automating several hours of their workday.
- We're a seed-stage team backed by Human Capital (SpaceX, Snowflake, Anduril) building a platform that helps enterprises build and deploy agents - with the right permissions, guardrails, and activity logging to actually ship within companies.
This listing is sourced directly from Gamut's careers page and normalized into a canonical job model.