Meta's ATA (AI-Driven Transformation & Agentification) organization is seeking an HR Business Partner to support our teams in driving the transformation of Meta's workforce through AI and agent-enabled workflows. ATA is at the center of one of Meta's most critical strategic bets — reimagining how work gets done across the company by deploying AI agents, automating workflows, and enabling new operating models at scale. In this role, you will contribute at both hands-on and strategic levels, partnering with engineering and program leaders to navigate the unique people challenges that arise when an organization is simultaneously building transformation capabilities and managing the human impact of that transformation.
Responsibilities
- Design and deliver targeted people solutions with a high degree of focus on scale and growth, including strategic planning, visioning, talent assessment, change management, and team building within a fast-moving transformational organization
- Provide strategic business partnership, thought partnership, and coaching to directors and senior leaders navigating the complexity of workforce transformation
- Proactively assess the team, manager, and organizational development needs within ATA's technical and program teams, make recommendations, and implement appropriate solutions. Provide rigorous data analysis and reporting solutions based on business needs, leveraging people analytics to inform talent strategy
- Drive talent management strategies that support ATA's growth, including attracting and retaining talent with expertise in AI, automation, and organizational change
- Manage and facilitate the overall Performance Summary Cycle (Checkpoint) 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 organization
- Navigate the unique dynamics of a transformation-focused organization, including managing through ambiguity, evolving role definitions, and the intersection of technical and non-technical work streams
- Partner closely with regional HR partners on global strategy and execution across the organization's distributed workforce
- Work closely with Employee Relations partners, supporting employee relations issues as needed
- Support organizational design efforts as the organization evolves its structure — including new workflows, changing spans, and role evolution driven by agentification
- Participate in and lead projects as an integral member of the extended HR community
- Serve as a thought partner on the people implications of AI-driven workflow changes across Meta's functions
Minimum Qualifications
- 10+ years of experience in an HR Business Partner or equivalent role
- Experience in helping global and/or highly matrixed organizations scale effectively
- Demonstrates solid judgment and experience in assessing risk relative to the business
- Consulting, coaching, and facilitation skills. Effective communication and critical thinking skills
- Demonstrates empathy and experience in driving collaborative and supportive work environments. Demonstrates project management and change management experience
- Experience using data to identify insights that drive actions
- Demonstrated experience in learning and thriving in a constantly changing environment, and cultivating relationships across teams
- Demonstrated experience in influencing and strategically solving problems Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Familiarity with AI/ML talent landscapes and the people dynamics of automation-driven change
- Experience partnering with technical and program leaders in fast-scaling, ambiguous environments
- BA/BS degree
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience in adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review)
- Experience supporting organizations undergoing large-scale transformations or restructuring
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration), and staying current with emerging AI technologies
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)