AI-Driven Learning & Performance Partner

Meta; Austin (TX); On-site; USD 120,000 - 177,000; Full time

Job summary

Meta is seeking a Learning and Performance Partner to drive learning and knowledge-management initiatives, partnering with GO and SO teams to close performance gaps and deliver high-impact solutions. The role emphasizes leveraging GenAI and AI tools to personalize training and improve efficiency.

The ideal candidate has extensive L&D experience in operations, experience with Trust and Safety contexts, and a track record of data-driven performance improvement.

Qualifications

• 6+ years of experience in learning and development within an operations-focused organization.
• Proven experience working in a Trust and Safety environment.
• Understanding of adult learning principles, performance consulting, instructional design, and knowledge management best practices.
• Hands-on experience using Generative AI (GenAI) for content development, personalization, and workflow optimization.

Responsibilities

• Partner with GO Learning and Knowledge Management Leads and SO teams to develop, implement, and maintain Learning and Knowledge Management strategies.
• Conduct Performance Needs Analysis (PNA) and Rapid Workflow Analysis (RWA) to provide data-driven recommendations.
• Uses AI-driven analytics to identify trends, predict skill gaps, and personalize interventions.
• Architect and deliver production workflow onboarding and performance support curriculums based on insights from PNA and RWA.
• Leverage AI tools and technologies (e.g., GenAI, Gemini, Notebook LM, Figma Native AI) to design, develop, and personalize learning and knowledge solutions.

Skills

Learning & development

Performance consulting

Instructional design

Generative AI

GenAI for content

AI tools: Gemini

Notebook LM

Figma Native AI

Figma Make

Stakeholder management

Tools

Gemini

Notebook LM

Figma Native AI

Figma Make

Job description

Meta is seeking a Learning and Performance Partner to drive learning and knowledge-management initiatives, partnering with GO and SO teams to close performance gaps and deliver high-impact solutions. The role emphasizes leveraging GenAI and AI tools to personalize training and improve efficiency.

The ideal candidate has extensive L&D experience in operations, experience with Trust and Safety contexts, and a track record of data-driven performance improvement.