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Technical Program Manager, AI/ML

Meta
Bellevue, USA
Full-time
Senior · 10+ years experience
Onsite
USD 168000-234000 yearly / year
Discovered 1 months ago

Full Job Posting

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
  • 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 broader company initiatives

Minimum Qualifications

  • B.S. in Computer Science or a related technical discipline, or equivalent experience
  • 10+ years of software engineering, systems engineering, hardware engineering, or technical product/program management experience
  • Experience driving and delivering complex AI/ ML tech programs or products from inception to delivery
  • Experience defining strategic direction and identifying new opportunities for impact amongst products, platforms and programs
  • Knowledge of user needs, gathering requirements, and defining scope
  • Experience operating independently across multiple teams and functions, demonstrated critical thinking, and thought leadership
  • Communication experience at executive level and experience influencing Leadership and technical management teams to develop systems, solutions, and products
  • Experience prioritizing and coordinating competing workstreams based on impact, deadlines, and stakeholder needs
  • Analytical and problem-solving experience with large-scale systems
  • Experience establishing work relationships across multi-disciplinary teams and multiple partners in different time zones

Preferred Qualifications

  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Knowledge of digital advertising platforms and ads monetization strategies
  • Experience with AI training environments and resource capacity planning
  • Knowledge of Recommender Systems (RecSys), Machine Learning (ML) and Artificial Intelligence (AI) concepts, including their impact on infrastructure
  • Familiarity with ML development workflows, model lifecycle management, and experimentation frameworks
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Hands-on experience building machine learning models and/or recommender systems, with the ability to clearly explain foundational ML concepts
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Compensation

  • $168,000/year - $234,000/year; Country: US; Bonus eligible; Equity eligible

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