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Amazon Data Services, Inc.

Sr. Technical Program Manager, Network Product Development, Interconnects

Seattle, WA, United States
Cupertino, CA, United States

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Job details

Posting language: English
Posted: Nov 10, 2026

Original job description

AWS builds one of the largest networks in the world, and every rack that lands in a data center depends on optics, copper, fiber and switches all arriving on time. The Network Product Development (NPD) Interconnects team designs and brings to production the optical modules, DAC/AEC copper cables and structured fiber that connect AWS infrastructure.

We are looking for a Senior Technical Program Manager to help drive how our products move from forecast to factory to data center. You will be the day-to-day interface between Supply Chain, our manufacturing vendors and the NPD engineers who design our products. You make sure each group has the technical context, data and decisions it needs from the others. When a forecast changes, a supplier raises a constraint or a build stalls, you bring the right people together quickly, frame the trade-offs clearly and drive the issue to resolution.

We work quickly and practically. Rather than waiting for large software programs, you will use AI tools, agents, scripts and lightweight workflows to stand up working processes fast. You'll run them on a regular cadence with our partners and improve them as you learn. Once a process has proven itself, you will help turn it into durable tooling.

Key job responsibilities

Drive the end-to-end program for interconnect products (optical modules, DAC/AEC, fiber and structured cabling) from forecast to delivery, and report progress and risks to NPD and Networking leadership through a regular business review.
Act as the primary interface between Supply Chain, vendors and NPD engineering. Translate engineering constraints into supply implications and supply constraints into engineering decisions.
Coordinate technical review of significant forecast changes (product mix or volume) with engineering and Supply Chain before they are shared with suppliers.
Help keep long-range capacity commitments and short-range build signals distinct. Raise it early when an execution signal risks undoing a long-lead commitment (DSPs, lasers, PCBs, raw fiber materials, line capacity).
Partner with engineering and Supply Chain to keep BOM and allocation data consistent, so sub-tier requirements line up across commodity managers.
Run scenario analyses (for example a 50% demand increase or decrease) with Supply Chain and engineering to show where commitments break across components and sub-tiers, and help teams agree on the response.
Work with vendors and Supply Chain to track supplier commitments and de-commitments for critical sub-tier parts
Drive a weekly clear-to-build (CTB) review with vendors and Supply Chain that combines component availability against the build plan, escalates shortfalls early and handles excess inventory without stopping the line.
Track capacity KPIs with our vendors. Work with engineering and site teams to validate capacity constraints when the data doesn't line up.
Coordinate with Supply Chain and deployment teams on inventory at VMI hubs and rack integrators, so production plans reflect where finished units can actually go.
Support rack integration improvements with engineering and integrators: rack portfolio standardization, production-readiness validation for new rack designs, first-pass yield, test time and the time from PO to start of assembly.
Use AI tools and agents every day to automate data gathering, reconcile vendor and Supply Chain data, generate status reports and catch issues early.
Build AI-assisted workflows that cut manual spreadsheet work for engineers and Supply Chain partners, and share what works across the team.
Write requirements and work with software teams to turn proven processes and AI-assisted workflows into durable tools.

A day in the life Your week might start with a CTB review across optics and fiber vendors, where an AI agent you set up has already reconciled the latest vendor data and flagged a laser shortfall weeks ahead. You then pull Supply Chain and engineering together to work through what a forecast revision means for supplier agreements. Later you follow up with a vendor on a capacity constraint that doesn't match their reported output, and join a call with a rack integrator on why a high-volume configuration keeps failing first-pass test. You write clear updates for leadership and turn this week's manual fixes into next week's automated workflow. Expect regular travel between Seattle and the Bay Area, as well as to supplier and integrator sites, mostly in Asia.

About the team NPD Interconnects handles product development for the optics, copper and fiber that link AWS networks, from early engineering through NPI and volume production. We work closely with the NPD switch and software teams, Global Supply Management, fabric and deployment teams, and our manufacturing partners worldwide. We value strong partnerships, mechanisms over good intentions, and a "trust, but verify" approach to the data we rely on. Basic qualifications

5+ years of technical product or program management experience
7+ years of working directly with engineering teams experience
5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
Experience managing programs across cross functional teams, building processes and coordinating release schedules
Bachelor's degree in Operations, Supply Chain Management, Engineering, or another technical field
Experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python), or experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results
Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
5+ years of experience in hardware supply chain, manufacturing operations, or NPI for electronic, optical, or networking products
Experience working directly with ODMs, JDMs, or contract manufacturers on capacity, CTB, or production ramps Preferred qualifications
Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
Master's degree or above in Engineering, Mechanical Engineering, Operations, Supply Chain, or Business Administration, or Master's degree or above in engineering, statistics, computer science, operations research, business analytics, information systems or equivalent
Experience communicating and presenting to senior leadership
Experience leveraging AI-powered tools or data analytics platforms to drive quality improvements, root cause analysis, or process optimization
Experience using AI-powered or data-driven scheduling and planning tools to optimize maintenance workflows
Experience with optical transceivers, DSP and laser supply, copper interconnects, or fiber cabling manufacturing
Experience with multi-tier BOMs, allocation, or sub-tier supply visibility for long-lead components
Experience with rack-level integration and test, yield improvement, or design for manufacturability

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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, CA, Cupertino - 171,000.00 - 231,400.00 USD annually USA, WA, Seattle - 148,700.00 - 201,200.00 USD annually

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More about this job

Skills

AWS
Supply chain management
Leadership
Workflow
Program management
Project management
Data mining
SQL
Power Query
Python
Forecasting
Budget management
Mechanical engineering
Statistics
Computer science
Research
Data analysis
Root cause analysis
Scheduling
Customer service
Recruitment
Mental health

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Work requirements

Jobs in the United States