Staff Product Manager - Agent & Systems Observability

Render is building a modern cloud platform for developers creating AI-native, full-stack, multi-service applications. The Staff Product Manager will own the vision and roadmap for observability, spanning systems telemetry, OpenTelemetry, agent and LLM observability, and AI workload cost and usage insights. The role involves partnering with engineering and product teams, engaging customers, and shaping the technical and strategic direction of Render’s observability platform.

Responsibilities:

• 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

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 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
• • Deep developer empathy, for both internal engineering teams and our customers, and the technical depth to make sound architectural tradeoffs in collaboration with engineering
• • A track record of taking ambiguous, cross-cutting problems and turning them into clear strategy and shipped outcomes
• • Strong communication and storytelling skills
• •This position is generally not eligible for new visasponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.•
• • 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