# Commercial Legal Lead at Fal Ai > United States · Staff · Other · open. Source: https://alderhq.app/jobs/ashby%3Afal-ai%3Ada98c83c-400a-4ef7-b216-63cb85b9a2b1 (read 2026-11-09). ## Facts (observed) - Company: [Fal Ai](https://alderhq.app/companies/fal-ai) - Location text: San Francisco - Where it can be done from (inferred): United States (evidence: "Location: San Francisco") - Posted: 2026-10-23 (17 days ago) - First seen by alder: 2026-11-04 · last verified: 2026-11-09 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/fal-ai/da98c83c-400a-4ef7-b216-63cb85b9a2b1 ## Pay and sponsorship - Posted pay: $300k–$350k per year (from the listing's pay field) - Market band for similar posted roles (SF Bay Area, n 789): p25 $177k, median $210k, p75 $250k ## Description (the employer's text) fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ### About this role fal is hiring its Commercial Legal Lead— the first dedicated commercial hire on our legal team. You'll own the commercial legal function end-to-end as an individual contributor: drafting and negotiating the deals that power our business, and building the templates, playbooks, and processes from the ground up. This is a builder's role for someone who wants the ownership of a founding hire without stepping into a department-management seat. ### What you'll do Draft and negotiate complex commercial transactions on both buy-side and sell-side: enterprise customer agreements, SaaS and API licensing, IP and model/content licensing, and data center/capacity and hyperscaler/infrastructure partnerships Build our commercial legal foundation from scratch — templates, playbooks, contract processes, and CLM Partner directly with GTM, sales, and leadership to move deals quickly while managing risk Advise on privacy and related matters as the business scales ### Requirements/Nice to have 8+ years of relevant commercial legal experience A top-tier law firm foundation combined with in-house experience at a technology, cloud infrastructure, SaaS, or AI company Proven track record drafting and negotiating complex commercial deals, both buy-side and sell-side Active US bar membership in good standing (California or NY preferred; registered in-house status acceptable) An IC operator who wants to own and build the commercial function — not a General Counsel seeking to run a large legal department Based in San Francisco and able to work in-office 5 days/week Experience coming from a model lab, AI startup, or high-growth company (e.g. Series D-stage) where you built systems from scratch rather than inheriting them Exposure to infrastructure capacity, data center, procurement, GPU, or model/content licensing ### What we offer at fal Interesting and challenging work A lot of learning and growth opportunities We offer visa sponsorship and will help you relocate to San Francisco. Health, dental, and vision insurance (US) Regular team events and offsites ### Compensation $300,000 - $350,000 + equity + comprehensive benefits package ### U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Afal-ai%3Ada98c83c-400a-4ef7-b216-63cb85b9a2b1 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.