Recruiting Lead
Gamut
Recruiting Lead
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 our first Recruiter, you'll own hiring end-to-end. This isn't a role where you inherit a req list and execute. You'll partner with the early team to figure out which hires actually move the company forward, define what great looks like for each role, and then go find those people yourself. You should be as comfortable designing an interview loop as you are spending an afternoon deep in LinkedIn sourcing.
You will:
Own the recruiting function from scratch: build our hiring process, interview loops, scorecards, and candidate experience
Use our platform to build agents that automate your recruiting workflows and multiply your leverage
Write compelling job descriptions and outbound copy that cuts through the noise and gets the right people to pay attention
Source relentlessly: run outbound campaigns, tap networks, mine communities, and find the people who aren't looking
Set up and manage our recruiting infrastructure (Ashby, scheduling, pipelines, reporting)
Surface hiring insights to the team: where we're winning, where we're losing candidates, and what to fix
This role is in-office, 5 days/week, based in San Francisco.
Have 3 to 8 years of recruiting experience, ideally including time at an early-stage startup where you were the first or only recruiter
Have closed hard-to-land candidates. You know how to sell a vision, not just a job
Can toggle between strategy and execution in the same afternoon: one hour designing an interview rubric, the next hour sourcing engineers
Have strong opinions on how to build a hiring bar and aren't afraid to push back
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