Meta Ads Ranking seeks a Technical Program Manager (TPM) to lead complex, large-scale programs advancing our infrastructure and platforms with the state-of-the-art in machine learning and AI systems for ad ranking. In this high-impact role, you will collaborate across engineering, product, data science, production teams to design, build, and scale the foundational advertising infrastructure and algorithms that power Meta’s monetization engines, one of the largest digital advertising platforms in the world. As a strategic leader, you will optimize the end-to-end ML development lifecycle, from experimentation and exploration to large-scale production deployment, with an consistent focus on system reliability, hardware efficiency, and performance at large scale. You will act as a driver of innovation, establishing repeatable frameworks to accelerate the onboarding of next-generation AI hardware and ML platforms. By leveraging deep technical expertise and business acumen, you will drive cross-functional collaboration across teams, resolve complex technical bottlenecks, and champion the industry-leading practices that solidify Meta's position at the forefront of AI-driven monetization.
Technical Program Manager, Ads Ranking Responsibilities
- Orchestrate and align cross-functional teams to deliver against ambitious ML/AI infrastructure objectives, ensuring absolute clarity and executive accountability
- Forge strategic partnerships with senior engineering, hardware, and research leadership to define long-term roadmaps for platform scaling and infrastructure prioritization
- Drive the technical execution for the integration of next-generation AI accelerators (GPUs, ASICs) and distributed machine learning systems
- Design and implement high-level communication frameworks to synthesize program health, risk profiles, and strategic shifts for executive leadership and global stakeholders
- Mitigate complex cross-functional dependencies and systemic risks by dynamically re-engineering scope and resources to maintain project momentum and on-time delivery
- Command the end-to-end lifecycle of infrastructure programs, encompassing deep technical analysis, architectural design, and rigorous production deployment
- Engineer and track mission-critical success metrics and performance benchmarks for ML infrastructure, fostering a culture of continuous improvement and technical rigor
- Anticipate and address complex, long-term infrastructure challenges in partnership with engineering and research leaders
- Advance Ads Ranking strategy by integrating state-of-the-art AI techniques into the core architecture of monetization systems
- Champion process improvements and automation to streamline workflows and reduce manual effort across ML/AI infrastructure teams
- Foster innovation, reliability, and efficiency in scaling ML/AI systems at Meta
Minimum Qualifications
- Bachelor’s degree in Computer Science, Electrical Engineering, or related technical field, or equivalent experience
- 10+ years of leadership experience in software, hardware, or systems engineering and technical program management, with deep expertise in ML infrastructure, monetization platforms, or large-scale recommendation systems
- Proven track record of delivering complex, mission-critical ML/AI technology programs from architectural inception through global-scale production deployment
- Proven experience in delivering complex ML/AI technology programs from inception to production at scale
- Exceptional ability to transform ambiguous technical challenges into actionable, high-impact strategies, with a history of driving systemic improvements in reliability, efficiency, and developer velocity
- Demonstrated analytical and problem-solving skills for large-scale ML/AI systems
- Strong executive presence with a proven ability to synthesize deep technical complexity into clear strategic narratives for leadership
- Hands-on experience with large language models, machine learning, and scaling distributed systems, including advertising auction dynamics and revenue-critical infrastructure
- Effective communication skills, with experience in influencing executive leadership and technical management teams
- Strong understanding of large language models, machine learning, and scaling distributed systems for advertising workloads and auction dynamics
Preferred Qualifications
- 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)
- Previous experience with ads delivery systems, revenue-critical infrastructure, and content understanding for monetization and/or recommendation system is preferred
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $168,000/year to $234,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
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