Staff Product Manager (Observability)

Lambda; United States; On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health, dental vision

401k match

5 sick days and 12 paid holidays

Flexible PTO

Parental, medical, caregiver leave

Job summary

Lambda seeks a product manager to own observability across its cloud platform. You will shape telemetry features, partner with SRE and fleet engineering, and drive cross-team collaboration to deliver a cohesive observability experience for customers and operators.

The role requires deep experience in distributed systems telemetry, influencing without formal authority, and delivering measurable improvements in platform reliability and insight into GPU/fabric metrics.

Qualifications

• 7+ years of product management experience with 3+ years in technical infrastructure, platform, or developer-facing products.
• Experience shipping observability or telemetry products for distributed systems.
• Ability to propose and influence roadmap decisions using data and evidence.

Responsibilities

• Own the Observability Roadmap across Lambda’s cloud platform.
• Turn telemetry signals into concrete customer-facing experiences in the console and Lambda Cloud API.
• Collaborate with SRE, fleet engineering, and console/API teams to create a coherent observability experience.
• Define and productize SLIs, SLOs, and SLAs with partner teams.
• Measure adoption, iterate, and communicate outcomes across engineering and leadership.

Skills

Observability PM

Influence

Data-driven decisions

Cross-functional leadership

Tools

PyTorch

NCCL

DCGM

Job description

• 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
• Great product managers at Lambda are defined by three things: insight, influence, and execution. 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 doesn’t mean anything in a vacuum
• That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority
• But a great idea that everyone is excited about doesn’t matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate. We hire product managers who learn new domains fast and reason rigorously from evidence. Deep observability domain experience is a strong plus, but insight, influence, and execution are the bar
• 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

Benefits

• Health, dental vision
• 401k match
• 5 sick days and 12 paid holidays
• Flexible PTO
• Paid parental, medical, and caregiver leave

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

We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team

If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role

Able to define iterative plans that move an organization from the current state towards the desired outcome

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

Are energized by ambiguity, and can be the first product manager to own a domain and give it shape

Can write crisply, so a one-page document from you is enough to align a room

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

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

Have worked with HPC (high performance computing) or distributed systems telemetry, including interconnect and fabric-level metrics

Have shipped monitoring or observability products, such as those in the Datadog, Grafana, or Prometheus class

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 built developer tools or API-first products

Have worked in a usage-based cloud infrastructure business