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HexHex is seeking a skilled Legal Operations professional to own and scale contract operations, CLM, and governance as the company grows. You will build structured intake, manage outside counsel, and drive AI-enabled workflows to replace manual processes.
You’ll collaborate across teams, train users of self-service tools, and maintain privacy registers, AI inventory, and compliance calendars. This builder role sits at the nexus of data, AI, and collaboration.
About HexHex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today’s data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love the company for our beautiful UI, agentic superpowers, and boundless flexibility.
the company has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we’re a high-agency team that ships fast and has fun doing it. Check out our Intro to the company video and employee handbook to learn more about what it’s like to work at the company.
the company’s legal function has gone from zero to a fully operating system in under a year. Now we need someone to own and scale the operating layer so it holds as the company grows. This is a builder role.
You’ll run contract operations end to end: CLM administration, workflow optimization, template and playbook maintenance, enablement and training for the revenue team, and first-pass review and redlining of standard agreements against our playbook. Beyond contracts, you’ll build structured intake for every legal workstream across the company, own the legal governance record (privacy registers, AI inventory, compliance calendars), manage outside counsel relationships, and own the legal tech stack. We sit at the nexus of data, AI, and collaboration, which means our legal operations have to be as thoughtful as our product.
We use AI tooling across legal operations, and you’ll work the same way: building agents and automations to move faster, not as a side project but as the default way things get done here. If you see a manual workflow and instinctively want to build it away, you’ll feel right at home.
We know job posts like this can feel like a checklist, and nobody checks every box. If you’ve built legal ops infrastructure, you’re excited about AI, and this role sounds like the kind of work you want to do, we’d love to hear from you.
In addition to our unique culture, the company proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
The salary range for this role is: $124,125 - $165,500.
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
By submitting an application the candidate consents to the use of their personal information in accordance with the the company Privacy policy:https://learn.the company.tech/docs/trust/privacy-policy.
In addition to our unique culture, the company proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
By submitting an application the candidate consents to the use of their personal information in accordance with the the company Privacy policy: https://learn.the company.tech/docs/trust/privacy-policy.