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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Technical Program Manager, Operations... - **Company:** Amazon.com, Inc. - **Location:** Nashville, TN, United States - **Experience:** Expert - **Salary:** $168,100.0 - $227,400.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Data Files, Firmware, Network Architecture, Software Engineering, Systems Architecture, Systems Integration, Computer Network Operations, Information Technology - **Published:** July 8, 2026 - **Apply:** https://www.juju.com/job/00000000ges0u3 ## About the Role 7+ years of technical product or program management experience - 10+ years of working directly with engineering teams experience - 5+ years of software development experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Experience communicating results to senior leadership, or experience in building financial and operational reports/data sets that inform business decision-making - Experience driving technology adoption or automation strategy across teams that operate independently - Deep understanding of system architectures, their limitations, and the trade-offs between technical and business requirements - Track record of decomposing complex, ambiguous problems into straightforward mechanisms that persist without your direct involvement Preferred Qualifications - 8+ years of hands-on work managing complex technology projects experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules - Experience working with networks, IT infrastructure, or system integration - Experience building and analyzing cost/benefit scenarios and business cases and communicating results throughout the organization - Experience with AI/ML operations strategy or driving AI adoption in engineering organizations - Demonstrated ability to create mechanisms that align organizations toward common goals without positional authority - Familiarity with network technologies sufficient to understand engineering trade-offs and question technical proposals ## Description Amazon's Operations Engineering Networking (ONE) org is looking for a Senior Technical Program Manager to spearhead the transformation of how we operate and measure a global network that powers everything from neighborhood grocery stores to the most advanced robotics fulfillment centers on the planet. You'll own the strategy for self governed AI-generated operations and the financial intelligence framework that proves our infrastructure investments are compounding, ensuring that as the network scales, the cost to operate it does not. You will own the cross-cutting programs that no single engineering vertical can deliver alone and that produce measurable outcomes benefiting our customers: the AI and automation strategy that shifts operational work from engineers to self-goverened agents, the network economics model that connects infrastructure investments to measurable financial outcomes, and the mechanisms that ensure every team measures success consistently. We've already proven that AI agents can triage thousands of tickets, auto-remediate failures in minutes, and review configurations at engineer quality. What no one owns is the unified strategy across all engineering teams, the measurement that proves it's working, or the economics framework that makes these outcomes actionable for stakeholder selections. ONE powers Amazon's Operations and Grocery businesses through a global network infrastructure that enables mission-critical connectivity for fulfillment, robotics, and last-mile delivery. As the Senior TPM for AI Operations and Network Economics, you will operate across all engineering verticals, interface directly with Finance, and present to senior stakeholders. What we're looking for: - A strategic program leader who drives outcomes across organizations without direct authority over the teams delivering - Experience building financial models or cost frameworks from scratch in environments where the data was fragmented and the methodology didn't exist - Track record of driving technology or platform adoption across engineering teams that historically built unassisted - you align through influence, data, and compelling narrative rather than mandate - Ability to translate engineering outcomes into business language - you can explain why a firmware compliance improvement is worth millions, not just why it matters technically - Strong technical judgment to understand network and systems architecture, question proposals, and identify where duplicated effort across teams can be eliminated through shared mechanisms leadership with confidence and precision - Bias for mechanisms over heroics - you build things that work without you, measure everything, and don't accept manual processes that should be automated - Comfort with ambiguity - neither the AI operations strategy nor the economics framework is fully defined today; you define both Key job responsibilities What you'll own: - The cross-organizational strategy for AI-generated network operations, turning built self governed automation primitives into a unified platform that shifts engineering capacity from maintenance to innovation - The network economics framework: cost per port, cost per gigabit, cost per square foot - automated, continuously updated, and used to guide investment selections and drive accountability - The financial methodology that connects each program to a defensible outcome - cost avoidance, OpEx elimination, headcount efficiency, and availability improvement - Operational metrics and business reviews - the executive-level narrative, trending analysis, variance explanation, and the "so what" behind every number - Goal health across the organization - ensuring program status is accurate, recovery plans are credible, and risks are escalated before they become surprises - Adoption targets for automation across all engineering verticals - defining what "good" looks like, measuring coverage, and holding teams accountable for progress ## Related Videos - [The AI-Native Engineering Org: What’s Real, What’s Hype, What’s Next](https://www.wearedevelopers.com/videos/100004-the-ai-native-engineering-org-what-s-real-what-s-hype-what-s-next) - [Playing Pong on a shoulder press machine](https://www.wearedevelopers.com/videos/100140-playing-pong-on-a-shoulder-press-machine) - [Introduction to TXT](https://www.wearedevelopers.com/videos/30-introduction-to-txt) - [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai) - [Physical AI: The Era of Intelligent Machines](https://www.wearedevelopers.com/videos/100141-physical-ai-the-era-of-intelligent-machines) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) ## Related Articles - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Should Tech Managers Be Developers First? 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