Amazon
Senior Product Manager Tech, EFS
$152K–$206K
Boston, MA · Manager · Full-time · Posted Oct 9, 2026
- Experience
- 5+ years in several specified areas, including technical product management, technical experience, P&L management and pricing, and new-product documentation; 7+ years of full product life-cycle experience.
- Education
- Bachelor's degree in a quantitative/technical field such as computer science, engineering, or statistics.
About the job
Own product strategy and delivery for Amazon EFS and S3 Files, from customer needs and technical design through pricing, launch, adoption, and operational improvement.
What you'll do
- Define product vision, written plans, and multi-year roadmap; drive integrations and core file-system features with engineering and partners.
- Own pricing, packaging, go-to-market, customer engagement and escalations, success metrics, and operational improvements.
- Communicate strategy and results to leadership and mentor product managers.
What they ask for
- 5+ years of technical product management with internet business experience; 5+ years of technical experience; and 5+ years working as a Technical Product Manager.
- 7+ years of full product life-cycle experience.
- 5+ years of P&L management and pricing experience; 5+ years creating written documents for new product development.
- Bachelor's degree in a quantitative or technical field such as computer science, engineering, or statistics; experience taking products from conception through market and delivering large-scale SaaS, PaaS, or LaaS products across the full lifecycle.
Nice to have
- Knowledge of software, hardware, and network development practices; experience with agile software teams and customer-facing requirements and design work.
- Product management experience in IT infrastructure; knowledge of storage, file systems, NFS, SMB, distributed file systems, cloud storage, performance optimization, caching, or storage tiering.
Pay
152,200.00 - 205,900.00 USD annually (base salary)
Tools
Amazon EFS, S3 Files, AWS, NFS, SMB, SaaS, PaaS, LaaS
AI focus
Shape storage products and integrations for customer workloads including ML training, data preparation, and agentic AI.
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