Technical Program Manager - Business Engineering

Meta Meta · Big Tech · Singapore

Technical Program Manager for Business Engineering at Meta, focusing on driving advertiser-centric projects and integrating AI tools to optimize workflows and ensure ethical AI practices. The role involves managing cross-functional programs, developing project plans, mitigating risks, and aligning with engineering teams.

What you'd actually do

  1. Drive and manage complex, cross-functional Business Engineering programs across a broad product portfolio, working within a matrix organization
  2. Develop, execute, and manage end-to-end project plans to ensure timely and successful delivery of initiatives
  3. Provide hands-on program management across the entire project lifecycle, including in-depth analysis, design, development, rigorous testing, implementation, and post-implementation phases
  4. Proactively identify, analyze, and mitigate project risks, while managing change control to maintain program scope and health
  5. Evaluate development projects based on their strategic value and measurable business impact

Skills

Required

  • program management
  • technical program management
  • cross-functional program management
  • project lifecycle management
  • risk management
  • stakeholder management
  • AI tools integration
  • ethical AI practices
  • prompt engineering
  • agent orchestration

Nice to have

  • Bachelors in a technical discipline or equivalent experience
  • Experience communicating to software engineering
  • knowledge of architecture and design
  • Communication experience
  • experience working with technical management teams
  • Organizational, coordination and multi-tasking experience
  • Interpersonal experience, including relationship building and collaboration within cross-functional team
  • Analytical and problem-solving experience
  • Experience with large-scale systems
  • staying current with emerging AI technologies

What the JD emphasized

  • 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