Superintelligence Labs HR Business Partner

Meta Superintelligence Labs (MSL) organization is seeking an HR Business Partner to support our growing labs. The ideal candidate will contribute at both hands-on and strategic levels to cultivate an amazing and innovative community on our teams. The ideal candidate will bring creative and effective ideas and solutions to a growing organization.

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 Provide strategic business partnership, thought partnership, and coaching to all levels of the organization Proactively assess team, manager, organizational development needs, make recommendations, and implement appropriate solutions Provide rigorous data analysis and reporting solutions based on business needs Drive talent management strategies to support a team’s growth and individual development plans Manage and facilitate the overall Performance Summary Cycle and employee engagement survey throughout the year Integrate and partner with HR colleagues in the Recruiting, Learning & Development, Compensation, Legal, and HR Programs teams to implement solutions and help scale the business

12+ years of experience in an HR Business Partner or equivalent role and a Bachelor’s degree Experience helping global and/or highly matrixed organizations scale Demonstrates solid judgment and experience assessing risk relative to the business Consulting, coaching and facilitation skills Effective communication and critical thinking skills Demonstrates empathy and experience driving collaborative work Demonstrates 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 and to cultivate relationships across teams Demonstrated experience in influencing and strategically solve problems 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