HR Business Partner — Meta Recommendation Systems Job at Meta (Menlo Park)

Job Description

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.

Job Responsibility

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

Requirements

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

Nice to have

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