Staff Product Manager - Storage & Networking

The role

You will define where customer data lives and how it moves to GPUs on the Foundational Infrastructure team. This role involves owning storage and networking product definitions, pricing, and delivery for the AI cloud.

What you will do

• Find the real problem by working close to customers, deals, escalations, and support.
• Rank and sequence work across storage and networking.
• Produce requirements, user stories, and acceptance criteria.
• Decide how storage and data transfer are metered, priced, and packaged.
• Work with storage and networking teams to deliver products and make tradeoff calls.
• Set launch criteria and prepare documentation, pricing, sales, and support.
• Define success metrics and measure adoption and workload performance.
• Take positions on contested tradeoffs and own decisions.
• Partner with other product managers and teams owning compute, orchestration, security, and commerce.

Required qualifications

• 7+ years of product management experience, including time on storage or networking products at a hyperscaler, neocloud, or comparable cloud provider.
• Shipped infrastructure products that external customers ran production workloads on, in object, file, or block storage, or in virtual networking, load balancing, or connectivity.
• Real depth in one of the two domains and enough range in the other to make decisions.
• Understand how data movement and network behavior show up as performance for distributed training and large-scale inference.
• Owned pricing, packaging, or metering for an infrastructure product.
• Can tell which parts of a hyperscaler playbook transfer to an AI cloud and which are cost without benefit.
• Able to define iterative plans that move an organization from the current state towards the desired outcome.
• Can turn ambiguous customer, technical, and commercial inputs into product definition.
• Communicate plainly, write well, and make decisions easier for people.

Nice to have

• Experience with object storage and S3-compatible interfaces, or with parallel and shared file systems at high throughput.
• Experience with block storage, snapshots, or the storage path behind instance boot and recovery.
• Experience moving bulk data into a cloud, including resume, integrity verification, and throughput the customer can watch.
• Experience with virtual private cloud networking, security groups, or private connectivity back to a customer's own network.
• Experience with load balancing, controlled egress, or edge protection in front of production serving endpoints.
• Experience with high performance fabrics for distributed training, like InfiniBand, remote direct memory access, or GPUDirect.
• Deep storage or networking platform experience at a cloud provider

Benefits

• Generous cash & equity compensation
• Health, dental, and vision coverage for you and your dependents
• Wellness and commuter stipends for select roles
• 401k Plan with 2% company match (USA employees)
• Flexible paid time off plan

About the company

Lambda is a leader in AI cloud infrastructure serving tens of thousands of customers, including AI researchers, enterprises, and hyperscalers. Founded in 2012, the company has 500+ employees and is growing fast.