Staff Product Manager - Observability
Bellevue · San Francisco Office (Fremont St) · 3+ years experience · Full-time · Hybrid · Posted Oct 14, 2026
At a glance
- Experience
- 3+ years experience
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- Bellevue · San Francisco Office (Fremont St)
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
- You will be the product manager who owns observability as a product across Lambda's cloud, managing everything customers see including GPU and cluster health, utilization, job-level telemetry, and InfiniBand fabric metrics.
- This role makes transparency real, letting customers distinguish their code, configuration, and the platform in minutes during large distributed training runs.
- You will partner daily with SRE, fleet engineering, and the console and API teams to bring one coherent observability experience to customers and operators alike.
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.
- 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: 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 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.
Requirements
- 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
Preferred qualifications
- Have shipped monitoring or observability products, such as those in the Datadog, Grafana, or Prometheus class
- Have worked with HPC 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
- Have worked in a usage-based cloud infrastructure business
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
Workplace
- Requires presence in the Bellevue or San Francisco office location 4 days per week
- Lambda's designated work from home day is currently Tuesday
Skills
- PyTorch
- NCCL
- InfiniBand
- Datadog
- Grafana
- Prometheus
- DCGM
- API
- GPU