Lambda

Lambda

Staff Product Manager - Observability

Bellevue Office · Staff+

Sponsorship not specifiedDetected 2 days ago
Node.jsDistributed SystemsCloud PlatformsPrometheusGrafanaDatadogSite Reliability EngineeringMachine LearningPyTorchProduct ManagementProduct StrategyResearchCommunication

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Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • A customer runs distributed training across 64 to 1,024+ GPUs (Graphics Processing Units).
  • When a job slows down, customers need one question answered instantly: is it my code, NCCL (NVIDIA Collective Communications Library) configuration issue, or a bad InfiniBand link?
  • Observability is how Lambda answers that question.

Responsibilities

  • Own the Observability Roadmap: Define and drive the product strategy for observability across Lambda's cloud, from single On-Demand GPU Instances to 1-Click Clusters at 64 to 1,024+ GPU scale.
  • Ship Diagnostics That Answer the First Question: Build experiences that let a customer quickly distinguish their own code or configuration issues from platform problems such as a failing node or a degraded InfiniBand link.
  • Turn data and customer signal into a clear decision about what to build next, and can show examples where your insight changed a roadmap
  • Can write crisply, so a one-page document from you is enough to align a room
  • Are energized by ambiguity, and can be the first product manager to own a domain and give it shape
  • 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

Nice to have

  • Have shipped monitoring or observability products, such as those in the Datadog, Grafana, or Prometheus class
  • Have worked with HPC (high performance computing) or distributed systems telemetry, including interconnect and fabric-level metrics
  • Have built developer tools or API-first products
  • Have hands-on exposure to distributed training stacks such as PyTorch with NCCL, or to GPU fleet tooling such as DCGM (Data Center GPU Manager)
  • Have worked in a usage-based cloud infrastructure business
  • 401k Plan with 2% company match (USA employees)
  • Deep observability domain experience is a strong plus, but insight, influence, and execution are the bar.

Skills

  • Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence.
  • One person, one GPU.

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

  • Are comfortable in deeply technical conversations about distributed systems, and can hold your own with engineers on topics like metrics pipelines, hardware health, and failure modes
  • 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.
  • It lets customers distinguish their code, their configuration, and our platform in minutes, and that transparency is a core reason teams trust Lambda with their largest training runs.
  • That means everything customers see: GPU and cluster health, utilization, job-level telemetry, and InfiniBand fabric metrics.
  • You will partner daily with SRE (Site Reliability Engineering), fleet engineering, and the console and API (Application Programming Interface) teams to bring one coherent observability experience to customers and operators alike.
  • 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.
  • If you love turning raw telemetry into products customers rely on, and you want your work to be the reason a research team trusts their 1,024-GPU training run, we'd love to hear from you.
  • When a job slows down, customers need one question answered instantly:
  • That means everything customers see:
  • Work Backwards: One of the key things customers want to know is if their application is causing issues or if it is Lambda.
  • Build the Platform Telemetry Layer: Partner with SRE and fleet engineering to define the internal telemetry that powers fleet operations and reliability, so one data foundation serves both customers and operators.
  • Deliver with the Console and API Teams: Drive observability capabilities through to launch across the console, the Lambda Cloud API, and cluster tooling, so customers can consume telemetry however they work.

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.

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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