Device Technical Program Manager

Meta•Burlingame, CA

4d•$199,000 - $272,000

About The Position

Meta is seeking a Technical Program Manager at the Specialist level to lead portfolio-defining programs across highly complex, cross-organizational technical domains. In this role, you will serve as a subject matter expert and strategic partner to organizational leaders, translating ambiguous technical challenges into structured, executable program strategies. You will drive long-term efficiency improvements, influence technical direction, and bring clarity to problems that span multiple engineering and cross-functional organizations at scale.

Requirements

12+ years of experience in technical program management, leading large-scale, cross-functional programs in highly complex and ambiguous technical domains
Experience serving as a subject matter expert across multiple technical domains, influencing technical direction and roadmaps in partnership with organizational leaders
Experience developing and driving program strategy for portfolio-defining initiatives, including defining program structure, managing cross-organizational dependencies, and leading teams through significant change
Experience producing executive-level communications that explain ambiguous, technically complex problems to senior stakeholders
Experience proactively identifying, prioritizing, and resolving systemic technical risks and cross-organizational alignment gaps at the director level and above

Nice To Haves

Experience managing program portfolios that span both hardware and software engineering organizations, including new technology integration with undefined goals and aggressive schedules
Experience integrating AI tools and agents into program management workflows to measurably improve delivery quality, speed, and analytical outcomes
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)
Experience influencing external stakeholders or shaping policies in addition to internal organizational strategy
Experience building TPM community programs, including authoring best-practice playbooks, leading org-wide events, or driving hiring and onboarding initiatives
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Responsibilities

Partner with organizational leaders to define and drive technical strategy, program vision, and long-term roadmaps for portfolio-defining initiatives spanning multiple engineering organizations
Develop and own best-in-class program structures for highly complex, cross-organizational programs, including milestone definition, dependency mapping, risk frameworks, and launch criteria
Serve as a subject matter expert across multiple technical domains, advising organizational leaders on technical direction, architectural trade-offs, and systemic risks and opportunities
Conduct comprehensive technical assessments across large, complex data sets and program portfolios to identify trends, surface risks proactively, and provide strategic guidance on organizational priorities
Drive cross-organizational alignment by building relationships with directors and resolving commitment gaps, misaligned priorities, and complex workstream blockers with confounding factors
Produce communications that bring new levels of clarity to technically complex and ambiguous problems, serving as long-term reference points for organizational decision-making across all levels of the company
Leverage AI-integrated workflows to redesign program management processes to improve efficiency and scalability, orchestrating multiple AI tools to improve speed, quality, and analytical depth across the program portfolio
Build and lead TPM community initiatives, including creating playbooks for best practices, representing the TPM function in company-wide forums, and partnering with leadership to address organizational gaps
Proactively manage cross-organizational risk by instituting contingency planning, SWOT analysis, and structural changes that permanently resolve sources of recurring risk
Define and track technical metrics and program health indicators that illuminate systemic problems, empower teams, and drive data-informed decision-making across the organization