Meta is seeking an HR Business Partner to support our AAI organization. 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.HR Business Partner, AAI Responsibilities: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 buildingProvide strategic business partnership, thought partnership, and coaching to all levels of the organizationProactively assess team, manager, organizational development needs, make recommendations, and implement appropriate solutionsProvide rigorous data analysis and reporting solutions based on business needsDrive talent management strategies to support a team’s growth and individual development plansManage and facilitate the overall Performance Summary Cycle and employee engagement survey throughout the yearIntegrate and partner with HR colleagues in the Recruiting, Learning & Development, Compensation, Legal, and HR Programs teams to implement solutions and help scale the businessPartner closely with regional HR partners on global strategy and execution Work closely with our Employee Relations Partners, supporting employee relations issues as neededDesign and facilitate team and offsite meetings as neededParticipate and lead projects as an integral member of the extended HR communityMinimum Qualifications:Experience helping global and/or highly matrixed organizations scaleDemonstrates solid judgment and experience assessing risk relative to the businessConsulting, coaching and facilitation skillsDemonstrated experience in influencing and strategically solve problemsDemonstrated experience learning and thriving in a constantly changing environment and to cultivate relationships across teamsExperience using data to identify insights that drive actionDemonstrates project management and change management experienceDemonstrates empathy and experience driving community-building workEffective communication and critical thinking skillsPreferred Qualifications: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 technologiesAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. #J-18808-Ljbffr
HR Business Partner, AAI in City of Westminster employer: Meta
Meta is an exceptional employer that fosters a dynamic and innovative work culture, particularly for those in the Senior AI/ML Monetisation Engineer role. Located in a vibrant tech hub, employees benefit from cutting-edge resources, ample opportunities for professional growth, and a collaborative environment that encourages creativity and experimentation in the field of machine learning and advertising technology.
