Staff Product Manager - Storage

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.

As a product manager on the Foundational Infrastructure team, you will own a meaningful part of defining where customer data lives on Lambda and how it reaches the GPUs.

The domain covers the storage customers attach to an instance and the storage that outlives it, from local disk through block volumes to shared and object storage.

Great product managers at Lambda are defined by three things: insight, influence, and execution.

Responsibilities

• Find the Real Problem: Get close to customers, deals, escalations, and support on On-Demand GPU Instances and 1-Click Clusters, and work out what is actually blocking them on data rather than what they asked for.
• Decide What Matters: Rank and sequence the work across the storage portfolio, and be honest about what Lambda is not doing this year and why.
• Write the Definition: Produce requirements, user stories, and acceptance criteria precise enough that engineering builds from them without a translation layer.
• Price and Package It: Decide how capacity, performance, and data transfer are metered, priced, and packaged across On-Demand GPU Instances, 1-Click Clusters, and Lambda's private cloud offerings, including whether storage should bill alongside the GPUs it serves or on its own.
• Deliver With Engineering: Work through the build with the storage teams and the vendors behind parts of the stack today, make the tradeoff calls that come up mid-flight, and keep scope honest against the date.
• Land the Launch: Set launch criteria that cover the operational readiness a storage product needs, including durability, recovery, and what customers are told when data is at risk, and get documentation, pricing, sales, and support in place before it goes live rather than after.
• Measure and Iterate: Define what success looks like before launch, then go find out whether it happened, using adoption and real workload performance rather than opinion.
• Make the Call Stick: Take a position on contested tradeoffs, write it down well enough that people can disagree with it precisely, and keep owning the decision after it is made.
• Work as a Group: Partner with the other product managers on foundational infrastructure and with the teams that own compute, networking, orchestration, security, and commerce, so the pieces land as one product.

Requirements

• Have 7+ years of product management experience, including time on storage products at a hyperscaler, neocloud, or comparable cloud provider.
• Have shipped storage that external customers ran production workloads on, in object, file, or block.
• Understand the storage path well enough to reason with engineers about throughput, latency, consistency, and what happens to a workload when a device or a node fails.
• Understand how data placement and read and write patterns show up as performance for distributed training and large-scale inference.
• Have owned a product where durability and day two behavior mattered as much as launch, including recovery, capacity exhaustion, and what customers are told when something breaks.
• Have owned pricing, packaging, or metering for an infrastructure product, including the data transfer side of it.
• Can tell which parts of a hyperscaler playbook transfer to an AI cloud and which are cost without benefit.
• Have worked with storage vendors and open source storage systems, and can decide what Lambda should build against what it should buy.
• Able to define iterative plans that move an organization from the current state towards the desired outcome.
• Communicate plainly, write well, and make decisions easier for people who do not all share the same context.

Nice to Have

• Experience with object storage and S3-compatible interfaces, including the compatibility gaps that matter to customers porting from a hyperscaler.
• Experience with parallel or shared file systems at high throughput, and with the quality of service controls that keep one tenant from taking the whole system.
• 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 encryption at rest, key management, and tenant isolation in a multi-tenant storage system.
• Familiarity with how storage traffic crosses a high performance fabric, like remote direct memory access or GPUDirect Storage.

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