Meta is seeking a Technical Program Manager to lead portfolio-defining programs across a highly complex and ambiguous technical domain. In this role, you will partner directly with organization leaders to set technical strategy, drive cross-functional alignment, and deliver programs that shape the long-term direction of Meta's engineering and product investments. You will serve as a subject matter expert and thought leader, bringing clarity to the most difficult problems and building the program infrastructure that enables entire organizations to move faster and with greater confidence.
Responsibilities
- Partner with organization leaders to define and drive technical strategy, program roadmaps, and long-term organizational priorities across a portfolio of highly complex, cross-functional programs
- Translate ambiguous technical challenges into structured program plans with clear milestones, success metrics, dependencies, and risk mitigation strategies
- Serve as a subject matter expert consulted by engineering and cross-functional leaders on technical direction, architectural trade-offs, and program sequencing
- Identify systematic technical risks and opportunities across the program portfolio and drive proactive resolution in partnership with engineering and product leadership
- Build and maintain best-in-class communication frameworks that bring clarity to technically complex topics for audiences ranging from individual contributors to executive leadership
- Anticipate and mitigate cross-organizational conflicts, close alignment and commitment gaps, and drive decisions that unblock critical workstreams with confounding factors such as undefined goals, new technology integration, or aggressive schedules
- Develop playbooks, program templates, and best practices that improve execution efficiency across the broader Technical Program Management community
- Leverage AI tools and workflows to redesign program operations, accelerate analysis, and drive measurable improvements in delivery quality and speed
- Represent the Technical Program Management function in company-wide and organization-wide forums, contributing to hiring, planning, and community-building initiatives
- Evaluate program direction across the portfolio, including launching new initiatives and sunsetting programs when appropriate, based on organizational priorities and mission alignment
Minimum Qualifications
- 12+ years of experience in technical program management, engineering program leadership, or a related role combining deep technical depth with cross-functional program execution at scale
- Experience leading portfolio-defining programs spanning multiple engineering organizations, with demonstrated ability to manage ambiguity, undefined goals, and complex interdependencies
- Experience partnering with director-level and above engineering and product leaders to set technical strategy, influence roadmaps, and drive organizational alignment
- Experience designing and implementing program structures, risk management frameworks, and communication strategies adopted across an organization
- Experience identifying and resolving systematic technical risks across large, complex program portfolios with cross-organizational impact Experience managing programs involving new technology integration, including defining success metrics and navigating technical uncertainty in rapidly evolving domains
- Demonstrated ability to represent a program management function externally or in company-wide forums, influencing policies and practices beyond a single organization
- Track record of creating communications, playbooks, or frameworks that serve as long-term organizational references due to their clarity and strategic value
- Experience building and scaling AI-integrated workflows that deliver measurable improvements in program execution quality and efficiency
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)