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Render

Staff Product Manager – Agent & Systems Observability

Render

Staff Product Manager at Render owning observability vision and roadmap for AI workloads. Collaborating with engineering and product teams to enhance visibility into multi-service applications.

Posted 7/21/2026full-timeRemote • 🇺🇸 United StatesLead💰 $218,000 - $300,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Product Management with a focus on observability and monitoring, leveraging a deep understanding of the OpenTelemetry ecosystem and AI workload economics to drive strategic decisions and product outcomes.

Highest-signal resume keywords
Product ManagementOpenTelemetry EcosystemObservabilityAI Workload EconomicsStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
ObservabilityMonitoringDeveloper ToolsInfrastructure ProductsToken PricingModel Selection TradeoffsArchitectural TradeoffsTelemetry PipelineSemantic ConventionsInstrumenting Production Systems
Soft Skills
Deep Developer EmpathyStrong CommunicationStorytelling Skills
Industry Keywords
AI-native BuildersToken EconomicsCost AttributionLLM GatewayAgent Observability

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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.

Benefits

Comp & perks
  • 4 weeks of paid vacation.
  • 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
  • Long-term disability, life insurance, and 401K plans.
  • 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
  • Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
  • Monthly cell phone and internet subsidy.
  • Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
  • Continuous learning benefits & related support.