Amazon
Technical Program Manager, Global Procurement Technology
$127K–$172K
Bellevue, WA +1 · Manager · Full-time · Posted Oct 21, 2026
- Location
- Bellevue, WA
Irvine, CA - Experience
- 2+ years of software development; 4+ years of technical program management with software engineering teams; preferred: 3+ years of project management disciplines.
- Education
- Bachelor's degree
About the job
Leads cross-functional technology programs transforming procurement operations through AI agents, process redesign, and scalable production solutions.
What you'll do
- Manage programs end to end, including roadmaps, milestones, dependencies, risks, and delivery across engineering teams.
- Establish transformation teams, success measures, decision gates, and mechanisms for sharing lessons across business areas.
- Partner with business and technical leaders to redesign processes and evaluate scalable, secure AI and cloud solutions.
What they ask for
- Experience managing programs across cross-functional teams, building processes, and coordinating release schedules.
- 2+ years of software development experience.
- 4+ years of technical program management working directly with software engineering teams experience.
- Bachelor's degree; experience presenting to senior leadership; and experience with AI systems, including large language models and agent-based workflows.
Nice to have
- 3+ years of project management disciplines including scope, schedule, budget, quality, risk, and critical path management.
- Experience defining KPIs/SLAs for multi-million dollar businesses or leading highly technical programs involving infrastructure, complex systems, or systems engineering.
Pay
USD 127,100.00 - 172,000.00 annually (base salary); USD 127,100.00 - 172,000.00 annually (base salary)
Tools
AWS services, AI, machine learning, large language models, agent-based workflows
AI focus
Lead procurement transformation from individual AI-assisted productivity toward AI agents carrying processes end to end, with people verifying, orchestrating, and governing; assess AI feasibility and designs.
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