Lambda

Lambda

Staff Product Manager - Storage & Networking

Bellevue Office · Staff+

Sponsorship not specifiedDetected 8 days ago
Cloud PlatformsMachine LearningProduct ManagementLoad Balancing5G/LTEResearch

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About the role

  • Customers come to Lambda for compute, then decide whether to stay based on where their data lives and whether the network gets it to the GPUs fast enough to keep them busy.
  • On storage, the domain covers where weights, checkpoints, and datasets sit, how customers get data in and keep it current, what performance they can count on when loading a model, and how capacity is metered and priced.

Responsibilities

  • Write the Definition: Produce requirements, user stories, and acceptance criteria precise enough that engineering builds from them without a translation layer.
  • 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.
  • 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.
  • 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

Requirements

  • If you have built storage or network products at a cloud provider and want range across both rather than a single lane, we'd love to hear from you.

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.
  • 401k Plan with 2% company match (USA employees)
  • 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.

Skills

  • Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
  • One person, one GPU.
  • Most of this is the feature set a mature cloud already has and Lambda does not have yet.
  • Storage and networking are what turn graphics processing units (GPUs) into a cloud.
  • Deep storage or networking platform experience at a cloud provider is highly desired.

Compensation

  • The annual salary range for this position has been set based on market data and other factors.
  • However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
  • We offer generous cash & equity compensation

Benefits

  • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • Health, dental, and vision coverage for you and your dependents
  • Wellness and commuter stipends for select roles
  • Flexible paid time off plan that we all actually use

Company info

  • Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers.
  • Our customers range from AI researchers to enterprises and hyperscalers.
  • You will most likely work across both spaces rather than sit in one of them, following what customers need most at the time, alongside the other product managers on the team.
  • Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it.
  • But a great idea that everyone is excited about doesn't matter unless it is delivered to customers.
  • 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.
  • 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.
  • 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.

Equal opportunity

  • Lambda is an Equal Opportunity employer.
  • Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
  • Equal Opportunity Employer

Visa & Work Authorization

  • ational origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law
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