Senior TPM — AI/ML Ads Platform & Systems

Meta; Menlo Park (CA); On-site; USD 199,000 - 272,000; Full time

Job summary

Meta is seeking a Technical Program Manager to lead Developer Productivity within the Ads organization. You will define execution strategy across product and platform areas, align teams, and drive end-to-end plans for large-scale advertising systems.

The role requires deep AI/ML knowledge, strong communication, and a proven ability to lead multi-disciplinary teams in a fast-paced environment. Equity and benefits accompany base compensation.

Qualifications

• 12+ years of software industry experience including systems engineering, hardware engineering, or technical product/program management.
• Proven communication skills in written and verbal; strong cross-functional collaboration.
• Experience growing organizations and developing a positive team culture.
• Knowledge of software development processes and ML/AI technologies; understanding of ML systems.

Responsibilities

• Define and lead technical execution strategy for multiple product and platform areas.
• Articulate goals, milestones, and requirements for the team.
• Collaborate with engineering and product management leadership to shape long-term strategy.
• Develop end-to-end program plans across teams; influence delivery and progress updates to leadership.
• Drive internal process improvements across teams and functions.
• Set milestones, monitor status, and address potential setbacks.

Skills

12+ years exp

Communication skills

Interpersonal skills

Team building

ML/AI technologies

Analytical problem solving

ML systems best practices

AI integration

Responsible AI

AI upskilling

Education

B.S. in CS or related field

Tools

AI/ML tools

Job description

Meta is seeking a Technical Program Manager to lead Developer Productivity within the Ads organization. You will define execution strategy across product and platform areas, align teams, and drive end-to-end plans for large-scale advertising systems.

The role requires deep AI/ML knowledge, strong communication, and a proven ability to lead multi-disciplinary teams in a fast-paced environment. Equity and benefits accompany base compensation.