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Meta · 18 hours ago

Technical Program Manager, Ranking AI

Menlo Park, CA

Full-time

Hybrid

Senior Level

$140K/yr - $198K/yr

7+ years exp

Meta is a technology company focused on connecting people and businesses globally. As a Technical Program Manager for the Monetization Ranking and Foundations AI team, you will drive significant business value through machine learning innovations and collaborate with cross-functional teams to deliver impactful AI/ML product solutions.

Computer Software

Comp. & Benefits

Responsibilities

Develop and manage end-to-end technical AI/ML product solutions and ensure on-time delivery

Manage and own cross-functional products and programs execution in a matrix organization

Drive and influence technical and product strategy, proactively identify risks and develop mitigation strategies, align on priorities, and set direction for a broadly cross-functional area

Help define the roadmap and long-term strategy of the teams that you are working with

Design measurements to track impact and drive internal process improvements

Effectively communicate the technology, requirements, goals, and milestones of your team

Move fast in a flat organization by working in concert with technical program managers, product managers and engineers across Meta to establish a shared vision for improving execution and building solutions

Ongoing communication of planning, project status, issues and risks in a timely fashion to stakeholders

Help drive product decisions to align with higher company initiative

Qualification

Machine LearningRecommender SystemsTechnical Program ManagementSoftware EngineeringAnalytical SkillsCommunicationProblem SolvingCollaboration

Required

Bachelor of Computer Science or a related technical discipline, or equivalent experience

7+ years of software engineering, systems engineering, hardware engineering, or technical product/program management experience

Communication experience and experience working with technical management teams to develop systems, solutions, and products

Experience delivering tech programs or products from inception to delivery

Knowledge of user needs, gathering requirements, and defining scope

Experience collaborating across multiple teams and functions, demonstrated critical thinking, and thought leadership

Organizational coordination experience and experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zones

Analytical and problem-solving experience with large-scale systems

Preferred

Extensive knowledge of Recommender Systems (RecSys), Machine Learning (ML) and Artificial Intelligence (AI) concepts, including their impact on infrastructure

Hands-on experience building machine learning models and/or recommender systems, with the capacity to clearly explain foundational ML concepts

Familiarity with ML development workflows, model lifecycle management, and experimentation frameworks

Experience with AI training environments and resource capacity planning

Knowledge of digital advertising platforms and ads monetization strategies