Meta · 3 days ago
Technical Program Manager - Feed and Video Ranking and Recommendations
Menlo Park, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$199K/yr - $272K/yr
12+ years expMeta builds technologies that help people connect, find communities, and grow businesses. They are seeking a Technical Program Manager to lead complex programs in machine learning and AI systems for content ranking and recommendation, collaborating across multiple teams to ensure successful integration and scaling of new models and infrastructure.
Computer Software
Responsibilities
Lead and align cross-functional program teams to deliver on ML/AI infrastructure goals, ensuring clarity of objectives and accountability
Partner with engineering, hardware, data center, and research teams to define program requirements, prioritize initiatives, and shape the roadmap for ML/AI infra and platform scaling
Drive technical strategy and execution for onboarding and scaling new AI hardware (GPUs, accelerators) and distributed ML systems, including LLMs and GenAI workloads
Develop and implement communication strategies to proactively share program status, challenges, and risks with stakeholders at all levels
Manage cross-functional dependencies and risks, adjusting scope, timeline, and resources to ensure successful delivery of ML/AI infra programs
Lead the end-to-end lifecycle of ML/AI infra programs: technical analysis, design, development, testing, deployment, and post-launch support
Establish and track key metrics, benchmarks, and performance indicators for ML/AI infra, driving accountability and continuous improvement
Anticipate and address complex, long-term infrastructure challenges in partnership with engineering and research leaders
Drive product and infra strategy to support Meta’s AI/ML initiatives, including responsible and privacy-preserving AI
Champion process improvements and automation to streamline workflows and reduce manual effort across ML/AI infra teams
Foster innovation, reliability, and efficiency in scaling ML/AI systems at Meta
Commitment to scaling infrastructure for large-scale ML/AI systems, including privacy, security, and responsible AI practices
Qualification
Required
Bachelor's degree in Computer Science, Electrical Engineering, or related technical field, or equivalent experience
12+ years of experience in software engineering, hardware engineering, systems engineering, or technical product/program management, with a focus on ML/AI systems or infrastructure
Knowledge of software and hardware development for large-scale ML/AI platforms, including distributed training, inference, and hardware readiness
Proven experience delivering complex ML/AI technology programs from inception to production at scale
Demonstrated ability to define and optimize engineering processes for ML/AI infra, including onboarding, reliability, and efficiency
Demonstrated analytical and problem-solving skills for large-scale ML/AI systems
Experience building and influencing cross-functional relationships across engineering, research, hardware, and product teams
Experience defining strategic direction and identifying new opportunities for impact in ML/AI infra and platforms
Effective communication skills, with experience influencing executive leadership and technical management teams
Strong understanding of large language models, machine learning, and scaling distributed systems for AI workloads
Preferred
Experience with ML/AI infra platforms (e.g., PyTorch, TensorFlow, distributed training frameworks)
Experience with onboarding and scaling new hardware platforms (GPUs, accelerators) for ML/AI workloads
Experience in open source ML/AI platform development and community engagement
Experience driving responsible and privacy-preserving AI initiatives
Experience in technical leadership roles for ML/AI infra programs at planetary scale
Benefits
Bonus
Equity
Benefits
Company
Meta
Meta's mission is to build the future of human connection and the technology that makes it possible.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Kathryn Glickman
Director, CEO Communications
Christine Lu
CTO Business Engineering NA
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