About the role

We're looking for a Manager, Commercial Counsel, GTM to help lead our legal team at the forefront of shaping how cutting-edge AI technology reaches users, researchers, and enterprises worldwide. You'll work alongside experienced colleagues who operate as true strategic partners-moving fast, thinking creatively, and working collaboratively to support deals that matter. In this role, you'll support our enterprise technology and startups Go-to-Market teams, handling enterprise agreements and customer negotiations, as well as team growth and scaling initiatives.

This is an excellent opportunity for a seasoned attorney to help lead and grow the commercial legal team while contributing directly to responsible AI development.
Responsibilities

• Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales agreements with enterprise technology customers and startups.
• Partner closely with Sales and Go-to-Market leadership and teams to support deal velocity and provide practical legal guidance
• Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements
• Manage a team to support enterprise technology and startups segments
• Identify and escalate legal risks appropriately while supporting business momentum
• Stay current on legal developments affecting AI technologies

Minimum qualifications

• JD and active membership in at least one U.S. state bar
• Experience drafting and negotiating commercial contracts, SaaS agreements, or technology transactions
• Demonstrated people management experience, including hiring, developing, and leading attorneys or legal professionals
• Clear written and verbal communication skills, including the ability to translate legal concepts for non-lawyer stakeholders

Preferred qualifications

• 8+ years of legal experience, with substantial time spent on commercial contracts, SaaS agreements, or technology transactions
• Active membership in the California state bar
• Experience leading legal teams through high-growth phases at technology companies
• Experience navigating multi-stakeholder agreements involving technical and policy considerations
• Curiosity about AI technology and AI policy, and a commitment to responsible AI development
• A collaborative, low-ego approach to working with colleagues and external partners
• A "doer" attitude-willingness to roll up your sleeves and pitch in where needed-
• Comfort in fast-paced environments with shifting priorities, and a willingness to pitch in across what the team needs

Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$320,000-$385,000 USD

Logistics

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.