Crusoe
Principal Product Manager, AI Infrastructure (Storage)
$285K–$335K
San Francisco, CA - US +1 · On-site · Principal · Full-time · Posted Aug 28, 2026
- Location
- San Francisco, CA - US
Sunnyvale, CA - US - Experience
- 8+ years; technical product management experience or product-minded infrastructure engineering experience.
- Education
- Bachelor’s degree in electrical engineering, computer science, or a related field.
About the job
Own Crusoe’s long-term storage architecture and technology strategy to scale its storage platform for demanding AI workloads.
What you'll do
- Define the 2–4 year roadmap for block, file, object, local NVMe, and archival storage.
- Set platform performance, durability, and efficiency targets; guide architecture and long-term investments.
- Manage vendor strategy and partner with engineering and architecture teams on foundational storage decisions.
What they ask for
- Bachelor’s degree in electrical engineering, computer science, or a related field.
- 8+ years of technical product management or product-minded infrastructure engineering experience, with architecture-level ownership at Principal or equivalent scope focused on cloud storage or related infrastructure.
- Subject matter expertise in storage and strong understanding of hyperscale cloud storage architectures, including block, file, and object storage.
- Experience managing long-term vendor strategy and evaluating in-house software engineering investment for storage hardware and software.
Nice to have
- Experience with AI/ML infrastructure, including cloud training and inference workloads.
- Experience with high-performance storage networking such as RDMA or GPUDirect Storage; major cloud provider storage services or cloud-native storage principles; or managing or mentoring product managers.
Pay
Up to $$285,000 - $335,000 + Bonus (base salary range; bonus amount not stated).
Tools
block, file, object, local NVMe, AWS, Azure, GCP, RDMA
AI focus
Build storage infrastructure for AI workloads and larger AI clusters; bonus experience includes cloud training and inference workloads.
Model-written summary · the original posting is authoritative