Associate General Counsel, Commercial

Meta

$160K — $200K *
Legal & Accounting
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • J.D. and active bar membership in at least one U.S. jurisdiction
  • 5+ years of legal experience in technology transactions or commercial licensing
  • Proven skills in structuring and negotiating complex technology deals
  • Ability to operate independently and manage multiple priorities
  • Strong risk judgment related to evolving legal landscapes

Responsibilities

  • Serve as primary legal counsel for distributing AI models through various channels
  • Structure and negotiate distribution agreements to ensure broad availability of models
  • Lead complex commercial transactions involving AI technology and partnerships
  • Advise on data acquisition and licensing for model training and development
  • Provide legal support for AI-powered consumer products across Meta's apps
  • Collaborate with cross-functional teams to facilitate rapid commercial activities

Benefits

  • Opportunity to work on high-visibility, impactful AI initiatives
  • Access to a fast-paced, innovative work environment
  • Collaboration with leading experts in technology and AI
  • Chance to influence Meta's AI commercialization strategies
  • Participation in a culture that embraces ethical AI practices
Full 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.

Responsibilities

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.

Minimum Qualifications
• 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

Preferred Qualifications
• 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

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