Senior TPM, Optical Interconnects & Supply Chain

Amazon Web Services (AWS); Cupertino (CA); On-site; USD 171,000 - 231,000; Full time

Job summary

Amazon Data Services, Inc. in Cupertino, CA is seeking a Senior Technical Program Manager to drive interconnect product programs from forecast to factory to data center.

You will be the day-to-day interface between Supply Chain, manufacturing vendors, and NPD engineers, ensuring context, data and decisions flow smoothly. You will leverage AI tools and lightweight workflows to stand up efficient processes, while turning proven workflows into durable tools and reporting progress to leadership.

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.

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.

Skills

Product management

Cross-functional teamwork

Project management

Leadership

Stakeholder communication

Education

Bachelor's degree in technical field

Tools

SQL

Python

Power Query

Job description

Amazon Data Services, Inc. in Cupertino, CA is seeking a Senior Technical Program Manager to drive interconnect product programs from forecast to factory to data center.

You will be the day-to-day interface between Supply Chain, manufacturing vendors, and NPD engineers, ensuring context, data and decisions flow smoothly. You will leverage AI tools and lightweight workflows to stand up efficient processes, while turning proven workflows into durable tools and reporting progress to leadership.