# Staff Product Manager

**Company:** [Render](https://hotfix.jobs/companies/render)
**Location:** Remote
**Role:** Product Management
**Salary:** $218k – $300k/yr
**Experience:** 7+ years
**Skills:** Product Management, Observability, OpenTelemetry, distributed tracing, logs, metrics, llm observability, agent observability, telemetry pipeline, ai workloads, token economics, Developer Tools
**Posted:** 2026-07-21

> 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.

## Job Description

## 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.

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**Apply:** https://hotfix.jobs/jobs/ec57fa05-583c-4144-96c0-685f3baeefb5
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