Manager, Technical Program Manager - Infrastructure Hardware
Listed on 2026-01-06
-
Engineering
Systems Engineer, Hardware Engineer -
IT/Tech
Systems Engineer, Hardware Engineer
Summary:
Meta is seeking a Group Manager of Technical Program Managers (TPM) to join the Infrastructure Hardware TPM team. This team plays a central role in driving and delivering new hardware product development and deployment to enable hyperscale web and AI workloads at a global scale.
As the leader of the Technical Program Managers (TPMs) specializing in Meta’s hyperscale hardware infrastructure, you will lead efforts to transform Meta’s infrastructure in close collaboration with Hardware Engineering, Supply Chain Engineering, Capacity Engineering, Infrastructure Data Centers, and other cross-functional teams.
You will empower your team with end-to-end ownership to solve some of the most complex hardware system challenges in the industry. Together with cross-functional partners, you will drive innovation and develop cutting-edge solutions to support Meta’s hyperscale infrastructure needs.
Required Skills:
Manager, Technical Program Manager - Infrastructure Hardware Responsibilities:
Build and lead a team of experienced TPMs to scale and evolve with Meta’s rapid infrastructure growth, focusing on product thought leadership, end-to-end technical expertise, effective execution, and continuous process improvement
Leverage technical knowledge to proactively identify and analyze complex, long-term infrastructure challenges in collaboration with engineering leaders and stakeholders. Define and align on a visionary plan, creating actionable plans for both the long and short term to deliver impactful results
Develop partnerships with varied technical and non-technical roles across all organizational levels. Utilize these relationships to drive impactful technical and product solutions for Meta’s hyperscale hardware infrastructure
Grow TPM talent by coaching, providing development opportunities, and leading targeted hiring efforts
Foster a team that creates customer-centric products with rapid solutioning, clear communication, swift and constructive conflict resolution, and a collaborative, one-team mindset
Lead and mentor the team as they identify technical problem statements, create technical roadmaps, define programs to deliver technical outcomes aligned with business priorities, and drive them to completion by aligning and guiding large cross-functional teams
Minimum Qualifications:
Minimum Qualifications:
B.S. in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience
10+ years of experience in hardware engineering, systems engineering, or technical product/program management
4+ years of experience as a People Manager, leading Technical Program Managers, Product Managers, or Engineering Managers
Experience leading large-scale technical or engineering programs and products from inception to delivery, utilizing analytical skills to understand user needs, gather requirements, and define project scope
Experience structuring an organization to optimize execution, including attracting top talent and addressing gaps within the existing team
Experience building proven working relationships across multidisciplinary teams and collaborating with multiple partners across different time zones
Proven communication and relationship-building skills, with a proven experience to collaborate effectively within cross-functional teams to develop solutions
Demonstrated organizational and coordination skills, with the experience to multitask and drive results in an dynamic, high-pressure environment
Experience in Hardware New Product Introduction (NPI) and the hardware development life cycle, from concept through design, testing, and deployment
Preferred Qualifications:
Preferred Qualifications:
Experience collaborating with OEM (Original Equipment Manufacturer) or ODM (Original Design Manufacturer) partners to drive product development, ensure quality standards, and manage supply chain relationships effectively.
Background in one or more of the following areas: computer architecture, system performance optimization, generative AI, and large distributed systems, with a strong understanding of how these technologies integrate to drive efficient, scalable solutions.
Experience in AI cluster…
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