Director, Technical Program Management (Ranking AI)

Ranking AI is the central core machine learning org within Meta’s Monetization group, powering Meta’s revenue and business growth by advancing and deploying state-of-art Recommendation Systems AI for our Ads stack. We are currently redesigning the large and fragmented Ads model space by developing new modeling architectures, advancing the scale limit through model-hardware co-design, and developing techniques that better leverage anonymized, aggregated data. While there is significant focus on innovation, we pride ourselves in being able to translate research to production with high velocity, delivering on half on half aggressive revenue targets in a predictable fashion.The ideal candidate will bring hands-on experience in driving product and program growth through machine learning (ML) technologies, with a proven track record of leading AI-powered projects that span across modeling teams and require close collaboration with infrastructure teams. They will have a strong background in building and growing teams and have a comprehensive understanding of the full machine learning lifecycle—from raw data to features and modeling to training, inference, and debugging.Adept in navigating ambiguity and competing priorities, the candidate will thrive in an entrepreneurial, fast-paced environment. They will have a keen ability to sift through complex information, distill key insights, and up-level critical data to drive informed decision-making at all levels. They are not only skilled at leading teams and developing high-level strategic initiatives but are also hands-on, capable of rolling up their sleeves and executing the details to ensure successful program delivery.

Director, Technical Program Management (Ranking AI) 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 team to develop end-to-end program plans, influence teams to deliver against them, and keep the org and leadership informed on progress
• Manage, mentor, and grow the existing product technical program management teams
• 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 organizations to align plans, manage dependencies, drive execution, and deliver broad solutions
• Build and scale the organization to support multiple fast-paced product categories
• Responsible for people management - hiring, developing, and implementing organizational structure, delivering performance reviews, providing continual feedback, coaching and career growth
  
  

Minimum Qualifications:

• 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
• Proven interpersonal skills, including relationship building and collaboration within a multi-disciplinary, cross-functional team
• Experience building, growing, and leading a technical program management organization through design and execution of large infrastructure, tools and applications
• Experience in growing organizations and developing a team culture
• Knowledge of software development processes and ML and AI technologies
• Analytical and problem-solving experience with large-scale systems
  
  

Preferred Qualifications:

• Experience in scaling large platform and system growth
• Experience with online Advertising technologies, applications, and systems
• Experience with using AI, ML, and Generative AI to build solutions
• 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
  
  

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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$245,000/year to $309,000/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.