Associate General Counsel, Commercial

Meta; Los Angeles (CA); On-site; USD 210,000 - 260,000; Full time

Job summary

Meta seeks a Commercial Counsel to join the AI Partnerships Legal group, supporting the full range of commercial work behind Meta's AI ambitions. You will lead or support complex technology transactions, including licensing, partnerships, and go-to-market efforts across our ecosystem. The role requires a J.D.

(or equivalent) and active U.S. bar membership, with 5+ years in technology transactions and a proven ability to close deals with minimal supervision.

Qualifications

• J.D. or equivalent with active bar membership in at least one U.S. jurisdiction.
• 5+ years of legal experience in technology transactions or partnerships.
• Experience negotiating complex cloud/SaaS or platform agreements.
• Ability to manage multiple priorities and close deals with minimal supervision.
• Knowledge of open source licensing frameworks and AI ethics considerations.

Responsibilities

• Lead or support large-scale commercial transactions and partnerships for Meta's AI initiatives.
• Negotiate distribution agreements with ecosystem partners to enable broad model availability.
• Advise on data licensing and inbound/outbound rights for model training.
• Partner with BD, product, engineering and policy teams to move deals quickly.
• Provide practical risk assessment and guidance on evolving regulatory landscapes.
• Support go-to-market strategies for platform or developer ecosystem products.

Skills

Legal negotiation

Cloud licensing

AI licensing

Strategic partnerships

Independent work

Risk assessment

Education

J.D. or equivalent

Job description

About the Role

Meta's Legal team is looking for a Commercial Counsel to join our AI Partnerships Legal group. This role will support the full range of commercial legal work powering Meta's AI ambitions — with a particular focus on bringing our models to market across the broader ecosystem.

About the Team

The AI Partnerships Legal team supports Meta's most commercially significant AI relationships — from frontier model partnerships and data licensing to ecosystem distribution and product integrations. The work is fast-paced, high-visibility, and directly tied to Meta's AI strategy.

Model Distribution & Ecosystem Launch: Serve as the primary legal partner for efforts to distribute Meta's AI models through cloud service providers (CSPs), open source channels, and other go-to-market pathways.

Structure, negotiate, and close distribution agreements that enable broad model availability while protecting Meta's interests.

Large-Scale AI Commercial Transactions: Lead or support complex commercial deals involving AI technology — including strategic partnerships, joint development arrangements, and enterprise licensing.

Data Licensing: Advise on data acquisition and licensing transactions that fuel model training and product development, including negotiating inbound and outbound data rights.

Consumer Product Support: Provide commercial legal counsel to teams building and shipping AI-powered consumer experiences across Meta's family of apps.

Cross-Functional Partnership: Work closely with business development, product, engineering, policy, and other legal teams to enable fast-moving commercial activity in a rapidly evolving space.

J.D. (or equivalent) and active bar membership in at least one U.S. jurisdiction

5+ years of legal experience, with meaningful time spent on technology transactions, commercial licensing, or strategic partnerships

Experience structuring and negotiating complex commercial agreements (cloud, SaaS, platform, or similar technology deals)

Ability to operate independently, manage competing priorities, and drive deals to close with minimal oversight

Strong judgment on risk and comfortable advising where the law is unsettled or evolving

Direct experience with AI/ML model licensing, distribution, or commercialization

Familiarity with open source licensing frameworks and community dynamics

Experience supporting go-to-market strategies for platform or developer ecosystem products

Background working with CSPs (AWS, Azure, GCP) on technology distribution or marketplace agreements

Prior in-house experience at a technology company operating at scale

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies