Technical Program Manager — Ads Ecosystem
MetaJobsCloseBy Editorial Insights
Meta is seeking a Technical Program Manager for the Ads Ecosystem in Menlo Park, onsite, full time. You will lead the TPM organization that builds core advertising platforms and AI driven products, collaborating with engineering, product management, and leadership to define strategy, milestones, and end to end delivery for advertiser solutions. The role requires deep knowledge of advertising systems a proven ability to lead large programs across multiple teams and a track record of thriving in a fast paced environment. Qualifications include 15+ years in software 10+ years of people leadership strong written and verbal communication and experience with ML AI and responsible AI practices. Tips for applying: tailor your resume to highlight end to end program leadership measurable impact cross functional collaboration with product teams and advertisers and concrete examples of integrating AI to improve efficiency and quality with clear metrics.
The Ads organization drives revenue growth for Meta by building ads products for every business model and across multiple verticals. The Director is responsible for leading and growing the TPM organization that drives the development of the core platforms, systems, and applications to support our advertisers and help grow Meta revenue. This role requires a deep understanding of advertising systems, advertisers, and AI/ML technologies.
The right candidate will be a proven TPM leader, with a strong technical background, who has great communication skills both written and verbal, strong cross-organization collaborator, and a strong program management background. They will have demonstrated experience leading large projects across multiple software teams and an interest in being a very senior technical contributor focused on some of the largest and most complex work in the Ads Serving space. The candidate must be able to thrive and succeed in a fast-paced environment s
Responsibilities
Define and lead technical execution strategy for multiple product and platform areas.
* Articulate the technology, requirements, goals and milestones of your team.
* Work with engineering and product management leadership to define and revise the long-term strategy for the organization.
* Work with the broader organization to develop end-to-end program plans, influence teams to deliver against them, and keep the org and leadership informed on progress.
* Drive internal process improvements across multiple teams and functions.
* Work with teams to set milestones, communicate program statuses, and identify/address potential setbacks.
* Work with engineering to ensure the team’s work focuses on the highest priority partner team and customer needs.
* Work across many organizatio.
Qualifications
B.S. in Computer Science or a related technical discipline, or equivalent experience
* 15+ years of software industry experience, including systems engineering, hardware engineering, or technical product/program management experience
* 10+ years of people management experience leading teams to deliver technical programs or products from inception to delivery
* Proven communication skills both written and verbal
* Strong interpersonal skills, including relationship building and collaboration within a multi-disciplinary, cross-functional team
* Bachelor’s degree in Computer Science, Computer Engineering or equivalent combination of education and experience
* Experience in growing organizations and developing a team culture
* Knowledge of software development processes and ML and AI technologies
* Understanding of best practices for both traditional and machine learned systems
* Analytical and problem-solving experience with large-scale systems 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