Staff Product Manager - Storage & Networking
Bellevue · 7+ years experience · Full-time · Hybrid · Posted Oct 8, 2026
At a glance
- Experience
- 7+ years experience
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- Bellevue
About Lambda
- - Founded in 2012, with 500+ employees, and growing fast
- - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- - Our values are publicly available: https://lambda.ai/careers
- - We offer generous cash & equity compensation
- - Health, dental, and vision coverage for you and your dependents
About the role
- Storage and networking are what turn graphics processing units (GPUs) into a cloud at Lambda.
- 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 gets to the GPUs.
- You will most likely work across both storage and networking spaces rather than sit in one of them, following what customers need most at the time.
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 and connectivity rather than what they asked for.
- Decide What Matters: Rank and sequence the work in front of you across storage and networking, 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 storage and data transfer are metered, priced, and packaged across Lambda's public and private cloud offerings, and how customers compare the options.
- Deliver With Engineering: Work through the build with the storage and networking teams, 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 an infrastructure product needs, 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, orchestration, security, and commerce, so the pieces land as one product.
Requirements
- Have 7+ years of product management experience, including time on storage or networking products at a hyperscaler, neocloud, or comparable cloud provider.
- Have shipped infrastructure products that external customers ran production workloads on, in object, file, or block storage, or in virtual networking, load balancing, or connectivity.
- Have real depth in one of the two domains and enough range in the other to make decisions in it, plus the appetite to close that gap quickly.
- Understand how data movement and network behavior show up as performance for distributed training and large-scale inference.
- Have 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 that multiple teams execute against.
- Communicate plainly, write well, and make decisions easier for people who do not all share the same context.
Preferred qualifications
- 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.
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 that we all actually use
Workplace
- Requires presence in our Bellevue or San Francisco office location 4 days per week
- Lambda's designated work from home day is currently Tuesday
Skills
- Storage
- Networking
- Object Storage
- Block Storage
- Virtual Networking
- Load Balancing
- Connectivity
- InfiniBand
- GPUDirect
