Legal Ops

XYZ Venture Capital; San Francisco (CA); On-site; USD 124,000 - 166,000; Full time

Job summary

Hex Technologies is seeking a hands-on Legal Operations lead to own and scale the operating layer as the company grows. This builder role covers CLM, governance, and outside counsel management, with AI-powered workflows at the core.

You will implement and refine CLM (Ironclad preferred), build structured intake for legal workstreams, train cross-functional teams on self-service tools, and automate routine contracts.

Qualifications

• 3-5+ years in legal operations, paralegal, or contract management.
• At least 1-2 years in-house at a tech or SaaS company.
• Implemented or rebuilt a CLM, designed intake workflows, and stood up reporting.
• Experience reviewing and redlining commercial agreements.
• You build with AI and automation as a natural part of how you work.
• Comfortable operating with autonomy in a role with a lot of white space.

Responsibilities

• Drive CLM adoption and enablement for self-serve deals.
• Own workflow optimization, templates, and playbooks as deal structures and products evolve.
• First-pass review and redlining of standard agreements; draft from templates as volume requires.
• Build and own structured intake for legal workstreams across the company.
• Build AI-powered workflows, agents, and automations that replace manual processes.
• Maintain the legal governance record: privacy registers, AI inventory, compliance calendars.
• Train cross-functional teams on self-service tools and escalation paths.
• Manage outside counsel relationships and the legal tech stack.

Skills

Legal operations

Contract management

Contract review

AI automation

In-house SaaS

Playbook creation

User enablement

CLM adoption

Tools

Ironclad CLM

Job description

About the role:

Hex’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.

What you will do:

• Drive CLM adoption and enablement so the revenue team self-serves on standard deals
• Own workflow optimization, templates, and playbooks as deal structures and products evolve
• First-pass review and redlining of standard agreements; draft from templates as volume requires
• Build and own structured intake for legal workstreams across the company
• Build AI-powered workflows, agents, and automations that replace manual processes
• Maintain the legal governance record: privacy registers, AI inventory, compliance calendars
• Train cross-functional teams on self-service tools and escalation paths
• Manage outside counsel relationships and the legal tech stack

About You:

• 3-5+ years in legal operations, paralegal, or contract management, with at least 1-2 years in-house at a tech or SaaS company
• You’ve implemented or rebuilt a CLM (Ironclad preferred), designed intake workflows, and stood up reporting someone relied on
• Experience reviewing and redlining commercial agreements on both sell-side and buy-side paper
• You build with AI and automation as a natural part of how you work. You’re comfortable across AI-assisted legal tools, LLMs, and automation platforms, and willing to experiment with new ones as they emerge. This isn’t a nice-to-have at Hex.
• Comfortable operating with autonomy in a role with a lot of white space
• Good judgment about what you can handle and what needs a lawyer
• You care whether people actually use what you build

Nice to have:

• Experience at a company navigating exponential growth
• Experience with corporate governance (entity management, board materials, annual filings)
• Has used Hex
• Strong opinions about the best way to organize a Notion workspace

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, Hex 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 Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.

Hex Technologies uses AI-assisted tools as part of our application review process, including for resume screening and fraud detection. These tools help our team evaluate applications and verify applicant information. All AI-generated recommendations are reviewed by a member of our recruiting team before any hiring decision is made. No application is automatically rejected based solely on an AI tool's output.