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7 дней назад

Staff Product Manager - Observability

291 000 - 430 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Страна
US
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TL;DR
Staff Product Manager - Observability (Cloud Infrastructure): Owns observability products for cloud customers, including GPU and cluster health, utilization, job telemetry, and InfiniBand metrics with an accent on telemetry foundations, diagnostics, and customer-facing APIs. Focus on defining SLIs, SLOs, and SLAs, distinguishing customer issues from platform failures, and measuring adoption across AI research labs, startups, and enterprise machine learning teams.

Staff Product Manager - Observability

Company

Lambda

Conditions

6 days agoSalary: 291K - 430K

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own observability products across the cloud, including customer-facing GPU and cluster health, utilization, job telemetry, and InfiniBand metrics. You will define the product roadmap, build diagnostics, establish telemetry foundations, and work with customers and cross-functional partners to launch, measure, and improve features.

Requirements

  • 7+ years of product management experience
  • 3+ years working on technical infrastructure, platform, or developer-facing products
  • Ability to turn data and customer signals into product decisions
  • Experience influencing cross-functional stakeholders and shipping products with cross-team adoption
  • Experience taking products from idea through launch, measurement, and iteration
  • Comfort discussing distributed systems, metrics pipelines, hardware health, and failure modes
  • Strong writing skills
  • Ability to work through ambiguity and define iterative plans

Responsibilities

  • Define and drive the observability product strategy and roadmap
  • Decide which telemetry signals customers see through the console and Lambda Cloud API
  • Build diagnostics that distinguish customer code or configuration issues from platform problems
  • Define and productize SLIs, SLOs, and SLAs
  • Define internal telemetry with SRE and fleet engineering
  • Gather customer feedback from AI research labs, startups, and enterprise machine learning teams
  • Align engineers, designers, and executives on the roadmap
  • Define success metrics, measure adoption, and iterate on features
  • Deliver observability capabilities through the console, API, and cluster tooling

Benefits

  • Cash and equity compensation
  • Health, dental, and vision coverage for employees and dependents
  • Wellness and commuter stipends for select roles
  • 401k plan with 2% company match for USA employees
  • Flexible paid time off

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