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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Technical Program Manager, AWS EC2 Accelerator... - **Company:** Amazon.com, Inc. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $171,000.0 - $231,400.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Computing Platforms, Systems Engineering, Tensorflow, Software Engineering, AI Infrastructure - **Published:** August 9, 2026 - **Apply:** https://www.juju.com/job/00000000gme159 ## About the Role 7+ years of technical product or program management experience - 8+ years of working directly with engineering teams experience - 5+ years of software development experience - 5+ years of technical program management working directly with software engineering teams experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Experience leading highly technical programs involving infrastructure, complex systems, systems engineering Preferred Qualifications - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules - Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership ## Description AWS builds the custom silicon and platforms that power the world's largest AI and machine learning workloads. We are looking for an exceptional Senior Technical Program Manager to drive the most complex, cross-organizational programs behind AWS's AI accelerators - Trainium and Inferentia. In this role, you will own the end-to-end delivery of ambiguous, high-stakes programs that span silicon, hardware, software platforms, and ML frameworks. You will bring structure to ambiguity, drive alignment across many teams, surface and resolve the critical path, and hold a diverse set of stakeholders accountable to commitments. You will be the connective tissue that turns a portfolio of independent efforts into a coherent, on-time delivery - and the trusted voice leadership relies on for a clear-eyed view of status, risk, and the decisions that matter. This is a rare opportunity to shape how purpose-built AI infrastructure gets built and shipped at scale. Key job responsibilities - Own the planning and end-to-end delivery of large, cross-functional programs spanning silicon, hardware, software platforms, and ML frameworks - defining scope, milestones, dependencies, and the critical path. - Drive alignment across many teams and leaders; establish mechanisms (planning, status, risk reviews) that keep a complex program moving and transparent. - Proactively identify risks, dependencies, and bottlenecks; drive mitigations and force clarity on trade-offs before they become launch-blocking. - Translate ambiguous, high-level goals into concrete plans with clear owners, dates, and success criteria. - Communicate crisp status, risks, and decision asks to senior leadership; be the single source of truth for program health. - Raise the bar on program management practices and mechanisms across the org, driving continuous improvement in how the team plans and executes. A day in the life You start the day scanning program dashboards and updating the critical path from a partner team. You run a cross-team sync to unblock a dependency between the hardware and software platform teams, then spend mid-morning pressure-testing a launch plan and pinning down owners and dates for the open risks. In the afternoon you drive a risk review, update the program's status narrative, and align stakeholders on a scope trade-off that protects the launch date. You close the day sending a crisp leadership update - where the program stands, the top risks, and the two decisions you need this week. Throughout, you are converting ambiguity into a clear, shared plan and holding the whole program accountable to it. ## Related Videos - [30 powerful AWS hacks in just 30 minutes: Boost your developer productivity](https://www.wearedevelopers.com/videos/1624-30-powerful-aws-hacks-in-just-30-minutes-boost-your-developer-productivity) - [Containers in the cloud - State of the Art in 2022](https://www.wearedevelopers.com/videos/410-containers-in-the-cloud-state-of-the-art-in-2022) - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Reliable scalability: How Amazon.com scales on AWS](https://www.wearedevelopers.com/videos/983-reliable-scalability-how-amazon-com-scales-on-aws) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)