Technical Program Manager III, Data Center Engineering - AI & Design Technologies

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

The AWS Data Center Engineering - AI & Design Technologies team is seeking a Senior Technical Program Manager to drive the end-to-end delivery of AI-powered design automation programs for AWS"s global data center infrastructure. In this role, you will own complex, cross-functional programs that bring generative AI capabilities to architects, engineers, construction managers, and facility operators, transforming how data center design documentation is created, validated, and delivered at scale.

You will work at the intersection of Building Information Modeling (BIM), generative AI, and cloud-based platforms, partnering with product managers, software engineers, applied scientists, and Architecture, Engineering, Construction, and Ownership (AECO) domain experts to plan, execute, and launch programs that accelerate facility design workflows. You will translate ambiguous business and technical requirements into structured execution plans, drive cross-organizational alignment, and ensure AI-powered features maintain the high trust bar that engineering professionals demand. The ideal candidate combines deep technical program management expertise with the ability to navigate ambiguity, thrives in fast-paced environments, and is passionate about applying AI to real-world engineering challenges at unprecedented scale.

Key job responsibilities

• Own and deliver ambiguous, large-scale programs spanning multiple organizations and technology domains - defining mission, objectives, and measurable success criteria while driving alignment across business and engineering stakeholders throughout the end-to-end program lifecycle
• Analyze system architectures and engineering organizational structures to identify dependencies, risks, and opportunities, partnering with engineering leaders to ensure solutions scale effectively and meet both functional and non-functional requirements
• Drive clarity and crisp decision-making in highly ambiguous environments - providing context on business and technology trade-offs, questioning assumptions, and prioritizing work that delivers the highest customer value, even when the business strategy, architectural approach, or problem definition may not yet exist
• Translate complex AECO workflows and customer needs into clear technical requirements and implementation plans, partnering with product managers to inform and execute the product and technical roadmap
• Influence and advise VP-level leadership across data center engineering organization on technical investment decisions, organizational alignment, and long-term platform strategy - translating technical complexity into actionable insights that inform resource allocation and strategic direction
• Establish metrics, dashboards, and regular reporting mechanisms to provide stakeholders and senior leadership clear insight into program health, delivery timelines, and business impact
• Force-multiply across the TPM community by proactively identifying gaps between teams, processes, and systems, and establishing frameworks, mechanisms, and best practices that elevate the effectiveness of multiple teams and programs, reduce failure modes, and strengthen operational health

A day in the life

You start your morning reviewing program metrics and identifying areas that need attention. By mid-morning, you are leading a cross-team design review, asking pointed questions about architectural trade-offs and helping engineers converge on a path forward. After lunch, you draft a program update narrative for leadership, distilling weeks of progress into a concise story. Later, you connect with partner teams to unblock a dependency and refine the delivery timeline. Throughout, you mentor a fellow program manager and carve out time to evaluate whether a new generative AI tool could streamline your reporting workflows.