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RenderRender

Staff Product Manager

Staff Product Manager owning vision and roadmap for Render's observability, spanning systems telemetry, OpenTelemetry, agent/LLM traces, and AI cost tracking. Requires 7+ years PM experience in observability/infra/devtools, deep OTel fluency, and AI workload economics knowledge.

About the job

Responsibilities

  • Own the vision, strategy, and roadmap for observability at Render, spanning systems telemetry (logs, metrics, distributed tracing), OpenTelemetry-native instrumentation and export, agent and LLM observability (traces of model calls, tool use, and multi-step agent runs), and the cost and usage layer for token economics.
  • Drive prioritization across observability investments, balancing foundational telemetry infrastructure against near-term product needs.
  • Partner deeply with Engineering and other Product teams to shape the technical direction of Render's telemetry pipeline, optimizing for signal fidelity, query performance, and cost at scale.
  • Develop a strong, opinionated point of view on observability for AI-native builders, including extensions of OTel conventions to agent workloads, trace formats for agent runs, and reasoning about token spend, model routing, and cost attribution.
  • Engage with customers and product development teams to understand debugging, monitoring, spend management, and future observability needs.

Requirements

  • 7+ years in Product Management, with substantive experience in observability, monitoring, developer tools, or infrastructure products.
  • Working fluency with the OpenTelemetry ecosystem — signals, semantic conventions, collectors, and tradeoffs of instrumenting real production systems.
  • Familiarity with the economics of AI workloads: token pricing, model selection tradeoffs, and how teams budget for and attribute LLM spend.
  • Deep developer empathy for both internal engineering teams and customers, with technical depth to make sound architectural tradeoffs in collaboration with engineering.
  • Track record of taking ambiguous, cross-cutting problems and turning them into clear strategy and shipped outcomes.
  • Strong communication and storytelling skills.

Nice-to-Haves

  • Experience as an SRE, observability engineer, or infrastructure engineer.
  • Hands-on experience building AI agents, or instrumenting and evaluating them in production.
  • Contributions to OpenTelemetry or adjacent open-source telemetry projects.

Skills

Product Management, Observability, OpenTelemetry, Distributed Tracing, Logs, Metrics, Llm Observability, Agent Observability, Telemetry Pipeline, Ai Workloads, Token Economics, Developer Tools

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