Manager, Production Network Performance, Amazon Leo

We are a new team inside Amazon Leo’s communication systems organization. We turn live network data into clear answers about the performance customers receive, and then work with subject matter experts to improve the customers’ experience. Amazon Leo’s network serves consumers, businesses and government organizations; within Amazon Leo, the team supports the engineering and operations teams that need reliable evidence of how the network performs.

• Bachelor's degree
• 7+ years of experience in satellite, wireless or network systems engineering, integration or performance analysis
• 3+ years of experience leading an engineering team
• Experience with satellite, RF or wireless communication system performance
• Experience finding the root cause of performance problems in a large deployed system from measurement or telemetry data
• Experience writing analysis code in MATLAB, Python or C++
• Master’s degree or PhD in electrical engineering, statistics or a related field
• Experience operating or supporting a production network or satellite system
• Experience building automated monitoring, test or data pipelines
• Experience applying AI/ML methods, including large language model (LLM) tools, to anomaly detection or triage, with checks on their output
• Experience with RF link or network modeling and simulation
• Experience with statistical or causal methods to separate cause from correlation
• Experience leading technical work across several partner teams

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Redmond – 175,100.00 - 236,900.00 USD annually

• Hire and grow a team that covers each discipline the work needs: RF and link performance, software and data pipelines, AI/ML automation, networking, systems integration and test, and production operations and troubleshooting
• Prioritize the team's work with engineering and operations partners, so that effort goes where it most improves the customer experience
• Partner with the simulation, test, satellite, gateway, terminal and software teams on the data and evidence the analysis needs

• Integrate simulations and models developed by other teams into a comprehensive framework that predicts network performance and detects where live performance falls short
• Own the team's automated pipeline that brings live system and network data, simulation predictions and test measurements together
• Co-develop each tool's automation interface with the team that develops and calibrates it
• Set tolerances that reflect what each prediction means, and recognize when the model, not the network, is wrong

• Employ AI, machine learning and automation tools to rapidly detect changes that affect users, so the team catches problems early and protects the customer experience
• Detect changes against the network's own history with statistical change-detection methods
• Require independent evidence before an automated finding is treated as confirmed

• Drive performance problems to their root causes across RF, software, hardware and networking, wherever they sit in the end-to-end system
• Compare affected and unaffected terminals, satellites and gateways, and confirm causes with independent measurement or reproduction
• Hand each cause, with its evidence, to the team that owns the fix, and confirm after the fix that customers see the improvement

• Show how each finding affects the end-to-end customer experience
• Report findings, open questions and progress to leadership on a regular cadence