Director, Business Lead, Fair

Meta Meta · Big Tech · Menlo Park, CA

Director, Business Lead for Meta Superintelligence Lab (MSL) FAIR pillar, driving impact across Meta’s critical teams by leading technical programs and cross-functional initiatives. Requires technical background, program management, strategy, and planning experience. Partners with FAIR Research & XFN teams to deliver results, shape strategy, and lead programs. Manages programs and processes for high ROI and alignment to goals. Acts as an accelerant to technical projects by bringing together stakeholders, developing frameworks, aligning on tradeoffs, and driving execution.

What you'd actually do

  1. Serve as a trusted thought partner to FAIR leadership, providing strategic insights, recommendations, and holistic perspectives on key initiatives and decisions
  2. Prepare leaders for internal and external meetings by developing high-level talking points, attendee backgrounds, decision rationales, and risk assessments.
  3. Organize and facilitate leadership agendas, ensuring clear outcomes and follow-ups
  4. Scope, manage, and execute priority workstreams on behalf of leadership. Build and implement decision-making frameworks leveraging LLMs and processes to support FAIR’s strategic goals
  5. Leverage relationships across engineering, finance, and product teams to drive alignment and progress on key initiatives. Facilitate leadership processes and touchpoints across the organization

Skills

Required

  • 12+ years of experience with project management, strategy, management consulting, research, operations, or related field
  • Experience working with cross-functional teams
  • Experience in aligning and managing stakeholders at executive levels
  • Experience leading multiple complex projects and tasks under tight timelines and shifting priorities
  • Demonstrated experience context switching and connecting the dots across many different topics and stakeholders
  • Experience building presentations in Google Slides and building documents in Google Docs or equivalent tools
  • Demonstrated experience synthesizing information into a clear and cohesive narrative
  • Bachelors Degree in a business or technically related field or equivalent experience in project management, strategy, management consulting, research or operations
  • 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 working directly with leadership and stakeholders at all levels, including executive and C-suite, both inside and outside of an organization
  • Experience handling highly confidential information

What the JD emphasized

  • demonstrated experience in program management, strategy, and planning
  • deliver measurable results
  • shape strategy
  • lead programs
  • manage programs and processes
  • high ROI
  • alignment to annual goals
  • long-range planning milestones
  • accelerant to technical projects
  • stakeholders
  • decision-making frameworks
  • LLMs
  • processes
  • support FAIR’s strategic goals
  • Cross-Functional Leadership
  • drive alignment and progress
  • leadership processes
  • organizational touchpoints
  • strategic decisions
  • organizational initiatives
  • communicate changes
  • internal communications
  • All-Hands content
  • public engagement materials
  • project management
  • strategy
  • management consulting
  • research
  • operations
  • cross-functional teams
  • stakeholders at executive levels
  • complex projects
  • tight timelines
  • shifting priorities
  • context switching
  • connecting the dots
  • synthesizing information
  • clear and cohesive narrative
  • integrate AI tools
  • optimize/redesign workflows
  • measurable impact
  • efficiency gains
  • quality improvements
  • responsible, ethical AI practices
  • risk assessment
  • bias mitigation
  • quality and accuracy reviews
  • ongoing AI skill development
  • prompt/context engineering
  • agent orchestration
  • emerging AI technologies
  • leadership and stakeholders at all levels
  • executive and C-suite
  • confidential information