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Technical Program Manager - Ranking AI

Meta1,031 open roles

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Sunnyvale, CA; Bellevue, WA; Menlo Park, CA
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Your applicationOpen nowTechnical Program Manager - Ranking AIMeta · Sunnyvale, CA; Bellevue, WA; Menlo Park, CA
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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Meta postings stay open a median of 35 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.0%14 days
  5. 34.0%30 days
This job: first seen 3 hours ago

Meta median: 35 days open

The posting

Meta is seeking a Technical Program Manager (TPM) to drive the evolution of its state-of-the-art cloud-scale infrastructure. With a vast physical footprint and support for a wide range of products and services, Meta's infrastructure is undergoing a major transformation—streamlining the developer experience, optimizing efficiency at scale, and supporting cutting-edge web and AI workloads.

As a TPM focused on software engineering investments within core infrastructure, capacity, and efficiency teams, you will play a key role in this transformation. Partnering closely with engineering, product, and cross-functional teams, you will identify technical challenges, develop roadmaps, scope programs to align with business priorities, establish milestones and success metrics, and lead large-scale cross-functional initiatives to successful completion.

Responsibilities

  • Establish and lead effective program teams to ensure alignment and achieve common objectives
  • Work closely with engineering and business stakeholders to define program requirements, prioritize initiatives, and establish scope, including shaping the roadmap and long-term strategy for partner teams
  • Create and implement communication strategies to proactively share program status, challenges, and risks with stakeholders
  • Proactively manage cross-functional dependencies, risks, and changes by adjusting scope, schedule, and resources as needed to achieve optimal outcomes
  • Collaborate with cross-functional teams to lead technical analysis, design, development, testing, implementation, and post-implementation phases
  • Establish and monitor key metrics, quality benchmarks, and performance indicators to drive cross-functional execution of program deliverables
  • Anticipate and assess complex, long-term, and critical infrastructure challenges in partnership with engineering leaders and stakeholders
  • Shape product decisions to align with overarching company initiatives
  • Lead internal and external process enhancements across teams and functions, streamlining workflows and minimizing manual efforts through automation

Minimum Qualifications

  • Bachelor's degree in Computer Science, a related technical field, or equivalent experience
  • 12+ years of experience in software engineering, systems engineering, hardware engineering, or technical product/program management
  • Experience delivering technical programs or products from inception to delivery, with an understanding of user needs, gathering requirements, and defining scope
  • Experience working self-sufficiently across multiple teams, demonstrating critical thinking and providing thought leadership
  • Experience in communicating and collaborating with technical management teams to develop systems, solutions, and products
  • Experience in organizational coordination and building work relationships across multidisciplinary teams and partners in different time zones
  • Experience in analytical thinking and problem-solving for large-scale systems, such as cloud-scale storage systems

Preferred Qualifications

  • Experience with capacity planning and resource optimization for AI workloads
  • Experience with AI/ML infrastructure, ranking systems, or recommendation platforms
  • Experience with distributed systems architecture and large-scale data processing
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience leading programs across geographically distributed teams
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

US: $199,000/year to $272,000/year + bonus + equity

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