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Render

Staff Product Manager - Agent & Systems Observability

RemoteUnited States only
Published
Role
Product
Experience
Staff
Employment
Full-time
Company size
Startup
Salary not disclosed
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Open to US only. Set where you work from to check your eligibility.

No BS summary

We're looking for a Staff Product Manager to own the vision and roadmap for observability at Render. The role spans both the systems layer and the fast-emerging world of agent observability. This is a role for someone who wants to define what it means to understand your software in an era where AI is fundamentally changing how it gets built and run: where a production incident might trace through services, queues, model calls, and autonomous agent decisions, and where cost is measured in tokens as much as CPU-hours.

Core skills

OpenTelemetryObservabilityAI Observability

Optional skills

GenAI observability conventionsagent observability conventionsLLM gatewayLLM proxyLLM metering

What you'll do

  • Own the vision, strategy, and roadmap for observability at Render. Your scope spans 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 that makes token economics legible.
  • Drive prioritization across observability investments, balancing foundational telemetry infrastructure against near-term product needs.
  • Partner deeply with Engineering & other Product teams to shape the technical direction of Render's telemetry pipeline, ensuring architectural decisions optimize for signal fidelity, query performance, and cost at scale. Observability touches every product surface at Render, so the dexterity to understand the shape of our other investment areas is essential.
  • Develop a strong, opinionated point of view on what observability means for AI-native builders. How will OTel conventions extend to agent workloads, what a trace of an agent run could look like inside Render, and how teams should reason about token spend, model routing, and cost attribution.

What they require

  • 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 the tradeoffs of instrumenting real production systems.
  • Bonus if you've tracked the emerging conventions for GenAI and agent observability.
  • Familiarity with the economics of AI workloads: token pricing, model selection tradeoffs, and how teams budget for and attribute LLM spend.
  • Major bonus if you've worked on an LLM gateway, proxy, or metering product.
  • high integrity
  • humility
  • an insatiable drive to learn
  • reasoned discussions
  • continuous feedback
  • mutual trust and respect
  • effective debate

game engine developed by Criterion Software

TechnologyStartuprenderware.com/
Salary not disclosed