Amazon
Principal Technical Program Manager, Alexa
$177K–$275K
Sunnyvale, CA +2 · Principal · Full-time · Posted Aug 5, 2026
- Location
- Sunnyvale, CA
Bellevue, WA
Seattle, WA - Experience
- 10+ years of engineering; 7+ years of technical product or program management; 5+ years of software development.
- Education
- Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent.
About the job
Leads large, cross-organizational programs across Alexa, AWS, and AGI, delivering Alexa+ initiatives across device and cloud systems while aligning technical teams and senior leadership.
What you'll do
- Set strategy and manage end-to-end delivery of complex programs, roadmaps, governance, and operating mechanisms.
- Resolve cross-organizational dependencies, influence architecture decisions, and align teams and VP-level stakeholders.
- Define success metrics, track risks and outcomes, and communicate program status and trade-offs to senior leadership.
What they ask for
- 10+ years of engineering experience; 7+ years of technical product or program management experience; 5+ years of software development experience.
- Experience managing cross-functional programs, complex dependencies, concurrent workstreams, release schedules, and VP/Director-level stakeholders.
- Experience participating in and driving architecture and design decisions; knowledge of cloud operations and architecture at scale.
- Strong understanding of AI/ML, LLMs, and agentic systems, plus strong written communication skills for senior leadership audiences.
Nice to have
- Experience with device-side technologies, including operating systems, device operations, OTA updates, or firmware delivery pipelines.
- Knowledge of capacity planning, forecasting, infrastructure scaling, or language-side server architectures.
Pay
203,500.00 - 275,300.00 USD annually (base salary); 177,000.00 - 239,400.00 USD annually (base salary)
Tools
Alexa+, AWS, AGI, LLMs, AI/ML, distributed systems, Cloud, NLU, ASR, TTS
AI focus
Drives Alexa+ programs involving LLMs and AI/ML systems, including agentic systems, and applies these technologies to improve team productivity at the program, process, or development level.
Model-written summary · the original posting is authoritative