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Program Manager, Emerging Technical Talent Strategy

Meta · Menlo Park, CA · New York, NY · San Francisco, CA

Spotted 1d ago

Job details

Level
Senior
Experience
10+ years
Education
PhD
Posted
Nov 12, 2026
Last confirmed open
Nov 13, 2026
Job function
Software/Internet/AI › Project Management › Project/Program Manager

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Job description

About this role

Meta is seeking a Program Manager to design, launch, and scale a new initiative for attracting and developing exceptional emerging and early-career technical talent to support Meta’s AI research and engineering priorities.

This senior individual contributor role owns the program end-to-end from strategic sourcing and selection to onboarding and pathway development working closely with executive leadership to maximize talent quality and long-term impact.

Responsibilities

  • Define and deliver program strategy, roadmap, operating model, and investment plans with senior leadership.
  • Identify top technical talent (PhD and non-PhD) and partner with recruiting to build targeted sourcing strategies.
  • Build relationships with universities, faculty, and technical communities to drive targeted engagement.
  • Partner across engineering, recruiting, and L&D to design selection, onboarding, mentorship, and evaluation programs.
  • Lead cross-functional execution across HR, Ops, Recruiting, and Compensation to align key decisions.
  • Track metrics on talent quality, conversion, and long-term outcomes to continuously optimize the program.

Qualifications

  • 10+ years of experience in program management, talent acquisition, recruiting, strategy or other relevant disciplines
  • Proven track record of delivering complex, cross-functional programs from strategy through execution
  • Experience crafting sourcing and engagement strategies for top-tier technical talent
  • Ability to advise senior executives and influence cross-functional decisions
  • Skilled at translating ambiguous business needs into actionable strategy and execution plans
  • Strong communication skills with experience using data and market insights to guide decisions Experience building selective early-career technical programs in high-performing talent environments
  • Knowledge of North American and global university technical talent markets
  • Experience partnering with AI research/engineering teams to design development and full-time conversion pathways
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