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Sr. ACES TPM (Continuous Improvement), Amazon Leo

Amazon

Sr. ACES TPM (Continuous Improvement), Amazon Leo

full-timePosted: May 25, 2026Updated: Aug 27, 2026Bellevue, Washington, United States

Job Description

Amazon Leo is Amazon’s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. The Leo ACES (Amazon Customer Excellence System) team drives step-change improvements to Leo's high-rate satellite production through three pillars: benchmarking and scaling best-of-breed practices, developing enabling technology stacks, and executing continuous improvement methodologies. As a senior member of this team, you will lead improvements across manufacturing, testing, supply chain, and fulfillment processes — tackling foundational, cross-functional challenges that require complex, large-scale solutions. You will partner with teams across hardware, software, manufacturing, quality, launch, and test to manage dependencies and secure stakeholder alignment. We are looking for an experienced change agent who can envision the big picture and build the mechanisms to make it happen. The ideal candidate brings excellent communication and influencing skills, strong technical and business acumen, and sound judgment in balancing needs with constraints. They are adaptable to evolving direction and are able to navigate conflicting priorities to find a path forward. They embody the leadership principles of Earn Trust, Ownership, Insist on the Highest Standards, and Invent and Simplify. This role is based in Bellevue, WA. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities The Sr. ACES TPM drives high-impact performance improvements across manufacturing, test, and supply chain operations through data-driven analysis, Lean Six Sigma methodology, and digital automation. This role requires a strategic thinker with strong leadership and communication skills who can influence without authority, balance competing priorities, and foster a culture of continuous improvement. Key responsibilities include: • Lead end-to-end DMAIC and Lean Six Sigma projects targeting measurable business outcomes, including throughput, cost, yield, and OEE. • Apply advanced statistical methods — regression, ANOVA, DOE, and SPC — to identify root causes, design experiments, reduce variation, and validate solutions. • Assess operational activities using analytical tools such as VSM, Kaizen, and statistical studies to identify waste, bottlenecks, and corrective actions. • Develop and maintain standard work, control plans, and process capability metrics (Cpk, OEE, FPY). • Quantify the business impact of improvement opportunities and present data-backed recommendations to leadership. • Identify and drive the development of technology solutions — including digital tools, automation, and data infrastructure — that enable step-change improvements in manufacturing and test operations. • Partner with hardware, software, manufacturing, quality, launch, and test teams to manage dependencies and secure stakeholder alignment. • Mentor and develop junior engineers, embodying Amazon's Leadership Principles to drive operational excellence and transformative change. A day in the life This role will be highly collaborative, requiring partnerships with cross-functional leaders to drive positive results. This role requires ability to advocate on behalf of our customers (internal and external) and an ability to push back without being adversarial. You will act as an internal consultant across multiple value streams, helping teams adopt data-driven decision making. You will tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that haven't been solved at scale before. Along the way, we guarantee that you will learn a lot, have fun and make a positive impact on millions of people. About the team The Leo Operations Command Center (OCC) is Amazon Leo's integrated production operations program management function, enabling successful production scaling. ACES sits within OCC and focuses on driving cross-functional step-change process improvements. This is a two-pizza team comprised of seasoned TPMs and process engineers.

Locations

  • Bellevue, Washington, United States
  • Bellevue, Washington, United States

Salary

137,300 - 185,700 USD / yearly

Skills Required

  • Six Sigmaintermediate
  • similar environmentsintermediate
  • high-mixintermediate
  • project management of technical projectsintermediate
  • data analysis tools such as Excelintermediate
  • AI/ML techniques applied to manufacturingintermediate
  • industry 4intermediate
  • enterprise resource planningintermediate

Required Qualifications

  • Experience working with interdisciplinary teams to execute product design from concept to production (experience)
  • Bachelor's degree in engineering, computer science or equivalent (degree in engineering)
  • Experience with Six Sigma, lean manufacturing, or experience in similar environments (experience)
  • Experience in high-mix, high-precision or electronics/aerospace assembly at high volumes. (experience)
  • Strong problem-solver, analytical thinker, and effective communicator across both shop-floor presence and executive leadership. Able to influence cross-functional teams without direct authority. (experience)

Preferred Qualifications

  • Master's degree in Engineering, Computer Science, or a related field (degree in engineering)
  • Experience with the project management of technical projects (experience)
  • Experience with data analysis tools such as Excel, Pivot Tables, macros, SQL, visualization tools - Tableau, Quicksight, etc. (experience)
  • Experience manipulating large sets of data, summarizing into metrics, and conducting appropriate statistical tests (e.g., regression, t-test, chi-square) (experience)
  • Familiarity with AI/ML techniques applied to manufacturing (predictive maintenance, anomaly detection, process mining). (experience)
  • Familiarity with industry 4.0 technologies and their application in today's manufacturing environment (experience)
  • Knowledge of enterprise resource planning (ERP) and manufacturing execution system (MES) software. (experience)

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