CoreWeave
Staff Product Manager, AI Inference
$207K–$275K
Bellevue, WA / Sunnyvale, CA +2 · Staff · Full-time · Posted Oct 12, 2026
- Location
- Bellevue, WA / Sunnyvale, CA
Bellevue, WA
Sunnyvale, California, United States - Experience
- 8+ years in product management, with at least 5 years in cloud services or the AI/ML market segment.
- Education
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field; MBA or equivalent experience is a plus.
- Visa sponsorship
- Position requires access to export-controlled information. Applicants must be a U.S. person, eligible to access the information without export authorization, or eligible and reasonably likely to obtain the required authorization; CoreWeave may decline to pursue export licensing.
About the job
Leads the strategy, roadmap, and go-to-market for AI inference cloud services, working with customers and cross-functional teams to build scalable, differentiated products.
What you'll do
- Own the AI inference services roadmap and help define product strategy and investment priorities.
- Engage customers and analyze market trends to guide service improvements and identify growth opportunities.
- Lead cross-functional product development and partner on pricing, positioning, messaging, and go-to-market execution.
What they ask for
- 8+ years of product management experience, including at least 5 years in cloud services or the AI/ML market segment.
- Hands-on practitioner with deep understanding of foundation model inference, inference engines, optimization techniques, GPUs, and cloud-native architectures.
- Proven ability to lead cross-functional teams and work with customers to translate needs into product solutions.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
Nice to have
- MBA or equivalent experience.
Pay
$207,000 to $275,000 USD base salary
Tools
vllm, SGLang, TensorRT-llm, llm-d, Kubernetes, microservices, GPUs
AI focus
Define and lead AI inference cloud services, including foundation model inference, inference optimization, and portfolio capabilities for AI workloads.
Model-written summary · the original posting is authoritative