Data Licensing Lead, Meta Superintelligence Labs (MSL)

Meta; Menlo Park (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Meta is seeking a Data Licensing Lead for the Meta Superintelligence Labs organization, based in Menlo Park, CA. The role manages end-to-end data licensing agreements, partnering with BD, Legal, Policy, Research, Engineering, and Finance to secure high-quality datasets for frontier AI models and research initiatives.

The candidate will drive cross-functional programs, handle sensitive negotiations with discretion, and navigate a fast-paced, high-stakes environment with entrepreneurial acumen.

Qualifications

• Eight+ years in program management, business development, licensing, partnerships, or related operational roles in tech/AI.
• Experience managing complex licensing, procurement, or partnerships with Legal, Finance, and technical teams.
• Ability to handle multiple concurrent workstreams in a fast-paced environment with attention to detail.
• Excellent written and verbal communication, with ability to present executive briefs and recommendations.
• Experience with data-intensive programs, data rights, IP, content licensing, or data governance frameworks.
• Strong stakeholder management for cross-functional and external partner alignment.
• Direct experience with AI/ML data licensing, training data procurement, or data partnerships in research or product AI org.
• Familiarity with AI data ecosystem, data marketplaces, content licensing models, synthetic data, and regulatory frameworks.

Responsibilities

• Own end-to-end lifecycle of data licensing agreements for Meta Superintelligence Labs.
• Partner with Business Development, Legal, Policy, Research, Engineering, and Finance to identify, evaluate, negotiate, and operationalize data licensing partnerships.
• Navigate complex, cross-functional workstreams with speed and precision, maintaining confidentiality and discretion.
• Drive data licensing operations at pace and scale for frontier AI models and research initiatives.
• Support senior leadership with strategic and execution-oriented program management in a fast-paced AI environment.

Skills

Program management

Business development

Licensing

Partnerships

Cross-functional coordination

Communication

Data rights and licensing frameworks

AI/ML data licensing

Stakeholder management

Ethical AI practices

Job description

The Meta Superintelligence Labs is dedicated to developing AI-powered experiences for consumers, leveraging Meta's cutting-edge models.

Meta is seeking a Data Licensing Lead for the Meta Superintelligence Labs organization. This role is critical for managing the end-to-end lifecycle of data licensing agreements that fuel MSL's frontier AI models and research initiatives. The Program Manager will partner closely with Business Development, Legal, Policy, Research, Engineering, and Finance teams to identify, evaluate, negotiate, and operationalize data licensing partnerships, ensuring MSL has access to the high-quality, diverse datasets needed to advance its mission.

The candidate will demonstrate exceptional program management skills, a strong understanding of data rights and licensing frameworks, and the ability to navigate complex, cross-functional workstreams with speed and precision. This individual must be a collaborative partner who can balance strategic thinking with hands‑on execution, manage sensitive negotiations and confidential information with the highest level of discretion, and thrive in a fast‑paced, high‑stakes environment. Entrepreneurial acumen and a keen understanding of the evolving AI data landscape are essential.

This role is designed for a highly strategic, execution-oriented program manager who can drive data licensing operations at the pace and scale required by a world‑class AI organization.

This full‑time position is based at our office in Menlo Park, CA.

• 8+ years of experience in program management, business development, licensing, partnerships, or a related operational role within a technology or AI-focused organization
• Demonstrated experience managing complex licensing, procurement, or partnership agreements, including cross-functional coordination with Legal, Finance, and technical teams
• Proven ability to manage multiple concurrent workstreams and priorities in a fast-paced, ambiguous environment with strong attention to detail and follow-through
• Excellent written and verbal communication skills, with the ability to synthesize complex information into clear executive briefs, presentations, and recommendations
• Experience working with data-intensive programs, including familiarity with data rights, intellectual property, content licensing, or data governance frameworks
• Strong stakeholder management skills with a track record of building trust and driving alignment across diverse teams and external partners
• Direct experience with AI/ML data licensing, training data procurement, or data partnerships in a research or product-oriented AI organization
• Familiarity with the AI data ecosystem, including data marketplaces, content licensing models, synthetic data, and emerging regulatory frameworks around AI training data
• Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact (e.g., efficiency gains, quality improvements, pipeline automation)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., data provenance reviews, bias mitigation, usage rights compliance)
• Experience supporting or operating within a C‑Suite or senior leadership environment, including navigating complex organizational dynamics and sensitive information
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• 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)