Meta Recommendation Systems (MRS) is the standalone organization reshaping how nearly 3 billion people across Facebook, Instagram, and Threads discover content every day. Operating at the absolute frontier of AI, MRS is building LLM-native recommendation systems, pioneering Personal Foundation Models, advancing generative retrieval and ranking, and fundamentally reimagining how people connect with the content and experiences that matter most to them. The ambition is not incremental — it's to build the most intelligent, personalized recommendation systems the world has ever seen. We are seeking an experienced HR Business Partner to support some of the most strategically critical functions within MRS. This role partners directly with: - Product Management: the team charting the product vision for unified recommendations across organic and ads. - Knowledge: the team building a deep understanding of content, users, and their interactions across all Meta surfaces. - Core Modeling: the team delivering the industry's highest-performing ranking and retrieval models. This HRBP will be at the center of the product and ads recommendations unification journey — one of Meta's most important strategic bets. You'll help leaders navigate the complexity of bringing together organic and monetization recommendation stacks, building unified foundation models, and scaling talent across a rapidly evolving technical landscape. The ideal candidate operates as a true strategic business partner — someone who earns a seat at the table through insight, judgment, and a deep understanding of how people and organizations drive business outcomes. You'll need to be fluent in the language of AI/ML, comfortable operating in ambiguity at scale, and ready to partner with some of the strongest product and engineering leaders at the company.
Responsibilities
Design and deliver targeted organizational solutions with a high degree of focus on scale and growth, including strategic planning, org design, talent assessment, change management, and team building Provide strategic business partnership, thought partnership, and executive coaching to senior leaders navigating one of Meta's most complex technical and organizational transformations Proactively assess team, manager, and organizational development needs across product and engineering functions; make recommendations and implement appropriate solutions Drive the talent strategy for the unification of organic and ads recommendation systems — including workforce planning, capability building, and leadership development Provide rigorous data analysis and reporting solutions based on business needs to inform people strategy Manage and facilitate the overall Performance Summary Cycle and employee engagement survey throughout the year Integrate and partner with HR colleagues in Recruiting, Learning & Development, Compensation, Legal, and HR Programs teams to implement solutions and help scale the business Act as a trusted advisor on organizational health, team effectiveness, and culture — ensuring the people strategy keeps pace with the technical ambition
Qualifications
10+ years of experience in an HR Business Partner or equivalent role Experience helping global and/or highly matrixed organizations scale Demonstrated solid judgment and experience assessing risk relative to the business Consulting, coaching, and facilitation skills Effective communication and critical thinking skills Demonstrated empathy and experience driving collaborative work across cross-functional teams Demonstrated 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 cultivating relationships across teams Demonstrated experience in influencing and strategically solving complex organizational 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 Experience partnering with AI/ML, engineering, or deeply technical product organizations Experience supporting organizations going through large-scale strategic transformations (e.g., org unification, platform migrations, operating model changes) BA/BS degree Bilingual proficiency in both English & Mandarin a plus