Founding GTM
Gamut
Founding GTM
Gamut
Synthetic data platform for privacy-compliant AI
About Gamut
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.
The Role
You'll be our first dedicated GTM hire. Your core job is to get customers live, build agents for them, and grow our footprint inside every account. You'll sit shoulder-to-shoulder with customers, understand their workflows deeply, and turn those insights into product feedback that shapes our roadmap.
You will:
Own customer activation: run onboardings and build agents and workflows alongside customers on the platform until they hit real value
Drive expansion: monitor account health, find new teams and use cases, and grow our footprint inside every account
Feed insights into product: you'll be the closest person to how customers actually use Gamut, and you'll turn that into clear, prioritized input for the product roadmap
Build your own agents that automate your workflows and multiply your leverage
Run outbound on the margins: prospect, demo, and close when it makes sense, and help us build the playbook as we go
This role is in-office in San Francisco, 5 days a week.
You might be a great fit if you:
Have 2–7 years of experience as a founder, AE, solutions engineer, or early-stage GTM operator, or equivalent output.
Have a track record of getting customers live and expanding accounts, not just managing them
Are comfortable building from zero. You don't need a playbook, a defined ICP, or a manager telling you what to do next
Are technical enough that you'd rather build an agent for a customer than file a ticket asking an engineer to do it
Can translate messy customer conversations into clear product feedback that engineers and PMs can act on
Benefits
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