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Описание вакансии
Текст:
TL;DR
Product Manager (AI Cloud Infrastructure) (Storage/Networking): Define and launch storage and networking capabilities for Lambda's AI cloud, including data placement, transfer, virtual private cloud, load balancing, pricing, and metering with an accent on customer-driven prioritization and infrastructure product strategy. Focus on translating ambiguous customer and technical needs into precise requirements, making tradeoffs for AI workloads, and measuring production adoption and performance.
Location: Hybrid role requiring presence in the Bellevue or San Francisco office 4 days per week; Tuesday is the designated work-from-home day. Eligible office locations include Bellevue, San Francisco, and San Jose.
Annual salary: $291,000–$387,000 in Bellevue or $323,000–$430,000 in San Francisco/San Jose.
Company
Lambda provides AI cloud infrastructure for AI researchers, enterprises, and hyperscalers, with a focus on GPU computing.
What you will do
- Own product direction across cloud storage and networking for AI workloads.
- Research customer needs across GPU instances and clusters, then prioritize the problems that block adoption.
- Define requirements, user stories, acceptance criteria, launch criteria, pricing, packaging, and metering.
- Partner with storage, networking, compute, orchestration, security, commerce, sales, and support teams to deliver infrastructure products.
- Make product tradeoffs for AI data movement, training, inference, tenant isolation, connectivity, and operational readiness.
- Measure adoption and real workload performance after launch, then iterate on the product.
Requirements
- 7+ years of product management experience, including storage or networking products at a hyperscaler, neocloud, or comparable cloud provider.
- Experience shipping infrastructure products used by external customers in production.
- Strong depth in storage or networking, with sufficient range to make decisions in the other domain.
- Understanding of data movement and network behavior in distributed training and large-scale inference.
- Experience owning pricing, packaging, or metering for an infrastructure product.
- Ability to turn ambiguous customer, technical, and commercial inputs into clear product definitions and decisions.
Nice to have
- Experience with object storage, S3-compatible interfaces, parallel or shared file systems, block storage, snapshots, or instance boot and recovery.
- Experience with bulk cloud data migration, virtual private cloud networking, security groups, or private customer connectivity.
- Experience with load balancing, controlled egress, edge protection, InfiniBand, RDMA, or GPUDirect.
Culture & Benefits
- Generous cash and equity compensation.
- Health, dental, and vision coverage for employees and dependents.
- Wellness and commuter stipends for select roles.
- 401(k) plan with a 2% company match for USA employees.
- Flexible paid time off.
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