Datawizz is building the agent workforce. 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. Early customers are already automating several hours of their workday.
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.
The RoleAs Head of Engineering, you’ll be responsible for building and leading our engineering team. You’ll work closely with the founder to define the roadmap, oversee architecture and execution, and ensure our technology scales as we grow.
You will:
Lead the engineering organization - setting technical direction, priorities, and standards
Build and mentor a world-class engineering team from the ground up
Oversee development of our agent orchestration engine, execution pipelines, evaluation frameworks, and customer-facing platform
Establish engineering processes, best practices, and a high-performance culture
Ship code! Help design and build core systems alongside the team
This role is in-office, 5 days/week, based in San Francisco.
Leading engineering teams or organizations at startups or high-growth companies
Building and scaling complex distributed systems and developer platforms
Managing and mentoring high-performing technical talent
Shipping products quickly in fast-paced environments
Competitive salary, based on experience level (Annual compensation range: $50,000-$500,000)
Meaningful equity
Opportunity to be a founding member of a growing company
Skills Required
- Lead engineering teams or organizations at startups or high-growth companies
- Build and scale complex distributed systems and developer platforms
- Manage and mentor high-performing technical talent
- Ship products quickly in fast-paced environments
- Work in-office 5 days/week in San Francisco
What We Do
Gamut is an artificial-intelligence software platform for building and running personal and enterprise AI agents in secure environments. Its agents operate autonomously in browsers and connected tools, handling research, scheduling, repetitive preparation, and other complete workflows rather than isolated tasks. The company provides controls such as permissions, guardrails, activity logging, and integrations so teams can deploy agents productively within their organizations.









