Technical Program Manager, FAIR (AI Research)

Meta; Menlo Park (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Meta, through FAIR, is seeking a Technical Program Manager to lead complex, cross-functional programs that accelerate scientific discovery and innovation. You will partner with researchers, engineers, product managers, and infrastructure teams to deliver scalable AI solutions and state-of-the-art AI products and features.

The ideal candidate has 10+ years in technical program management or equivalent, with experience in compute infrastructure, data engineering, ML, or generative AI.

Qualifications

• B.S. in Computer Science or a related technical discipline, or equivalent experience.
• 10+ years of software engineering, systems engineering, hardware engineering, or technical product/program management experience.
• Experience managing technical programs in compute infrastructure, data engineering, machine learning, or generative AI, ideally in a research or lab environment.
• Organizational, communication, and stakeholder management skills, with demonstrated experience building partnerships across technical and research teams.
• Experience to work cross-functionally in a fast-paced, ambiguous environment.
• Familiarity with human data, machine learning datasets, RL environments, and generative model development is a plus.
• 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).
• Technical background in compute systems, data engineering, machine learning, or related fields is preferred.
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
• Experience evaluating model performance online and offline.

Responsibilities

• Lead complex, cross-functional programs that accelerate scientific discovery and innovation at Meta.
• Partner with researchers, engineers, product managers, and infrastructure teams to deliver scalable solutions across initiatives.
• Deliver cutting-edge AI products and features while ensuring high impact and usability.
• Coordinate across fast-paced teams to manage scope, timelines, and risk.
• Influence strategy through data-driven decisions and clear communication with stakeholders.

Skills

Cross-functional

Stakeholder management

Program management

AI knowledge

Data experience

Communication skills

Research partnerships

Education

B.S. in Computer Science

or related technical discipline

Job description

As a Technical Program Manager (TPM) at FAIR, you will lead complex, cross-functional programs that accelerate scientific discovery and innovation at Meta. You will partner closely with researchers, engineers, product managers, and infrastructure teams to deliver scalable solutions across different initiatives. Your work will enable cutting-edge research and the development of state-of-the-art AI products and features.

• B.S. in Computer Science or a related technical discipline, or equivalent experience10+ years of software engineering, systems engineering, hardware engineering, or technical product/program management experience
• Experience managing technical programs in compute infrastructure, data engineering, machine learning, or generative AI, ideally in a research or lab environment
• Organizational, communication, and stakeholder management skills, with demonstrated experience building partnerships across technical and research teams
• Experience to work cross-functionally in a fast-paced, ambiguous environment
• Familiarity with human data, machine learning datasets, RL environments, and generative model development is a plus
• 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)
• Technical background in compute systems, data engineering, machine learning, or related fields is preferred
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience evaluating model performance online and offline