Meta Superintelligence Labs HR Business Partner

Meta Meta · Big Tech · Menlo Park, CA +1

HR Business Partner for Meta Superintelligence Labs, focusing on strategic planning, talent management, and organizational development. The role requires experience integrating AI tools to optimize HR workflows and adhering to ethical AI practices.

What you'd actually do

  1. Design and deliver targeted solutions with a high degree of focus on scale and growth, including strategic planning, visioning, talent assessment, change management and team building
  2. Provide strategic business partnership, thought partnership, and coaching to all levels of the organization
  3. Proactively assess team, manager, organizational development needs, make recommendations, and implement appropriate solutions
  4. Provide rigorous data analysis and reporting solutions based on business needs
  5. Drive talent management strategies to support a team’s growth and individual development plans

Skills

Required

  • HR Business Partner experience
  • Bachelor's degree
  • Experience helping global and/or highly matrixed organizations scale
  • Solid judgment and experience assessing risk
  • Consulting, coaching and facilitation skills
  • Effective communication and critical thinking skills
  • Empathy and experience driving collaborative work
  • Project management and change management experience
  • Experience using data to identify insights that drive action
  • Demonstrated experience learning and thriving in a constantly changing environment
  • Demonstrated experience in influencing and strategically solve problems
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows
  • Experience adhering to and implementing responsible, ethical AI practices
  • Demonstrated ongoing AI skill development and staying current with emerging AI technologies

What the JD emphasized

  • 12+ years of experience in an HR Business Partner or equivalent role
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies