Staff Product Manager - Observability

Lambda; San Francisco (CA); Sur place; USD 291 000 - 430 000; Plein temps

Avantages offerts par ce poste

Health, dental, and vision coverage

Wellness stipend

Commuter stipend

401k with company match

Résumé du poste

Lambda, The Superintelligence Cloud, is seeking a product manager to own observability across its cloud, defining signals, metrics, and SLIs. You will partner with SRE, fleet engineering, and API teams to deliver a coherent observability experience for customers and operators.

The role requires 7+ years in product management, deep technical fluency in distributed systems, and a track record of shipping with cross-team adoption.

Qualifications

• 7+ years of product management experience in technical infrastructure or developer-facing products.
• Ability to turn data and customer signal into clear build decisions.
• Proven track record of shipping products with cross-team adoption.

Responsabilités

• Own the Observability Roadmap across Lambda's cloud.
• TurnTelemetry signals into a customer-facing product in the console and API.
• Ship diagnostics to distinguish code/config issues from platform problems.
• Define SLIs, SLOs, and SLAs with product partners.
• Build the internal telemetry layer for fleet operations and reliability.
• Engage with customers to understand how they debug distributed training.
• Communicate roadmaps clearly to engineers, designers, and executives.
• Measure adoption and iterate based on outcomes.

Connaissances

Observability product leadership

Cross-functional collaboration

Technical fluency

Written communication

Outils

NCCL

InfiniBand

DCGM

Description du poste

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

Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday.

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. 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. This role makes that transparency real. You will be the product manager who owns observability as a product across Lambda's cloud. That means everything customers see: GPU and cluster health, utilization, job-level telemetry, and InfiniBand fabric metrics. It also means the platform telemetry layer underneath, which powers Lambda's internal fleet operations and reliability work. 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. This role reports to the Head of Platform Product Management.

What You'll Do

• 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.
• Turn Telemetry into Product: Decide which signals customers see, including GPU and cluster health, utilization, job-level telemetry, and InfiniBand fabric metrics, and how they see them in the console and the Lambda Cloud API.
• 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.
• Work Backwards: One of the key things customers want to know is if their application is causing issues or if it is Lambda. If it is Lambda, they want to know if it is within the expected tolerance. You will work with each product to define and productize SLIs, SLOs, and SLAs.
• 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.
• Live with Customers: Spend time with AI research labs, AI startups, and enterprise ML (machine learning) teams to understand how they debug distributed training and inference, and turn that signal into decisions about what to build next.
• Win the Room: Bring engineers, designers, and executives along on your roadmap through clear writing and evidence, not authority.
• Measure and Iterate: Define the success metrics for observability features, instrument adoption, and use the results to decide what ships next.
• 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.

You

• Have 7+ years of product management experience, including 3+ years on technical infrastructure, platform, or developer-facing products.
• Turn data and customer signal into a clear decision about what to build next, and can show examples where your insight changed a roadmap.
• Win over engineers, designers, executives, and customers without formal authority, and have shipped products that required cross-team adoption.
• Have taken products from idea through launch, measurement, and iteration, and can speak to what you learned from the metrics after shipping.
• 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.
• 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.
• Able to define iterative plans that move an organization from the current state towards the desired outcome.

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.

Salary Range Information

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.

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.
• 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.

Equal Opportunity Employer

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.

Compensation Range: $291K - $430K