Principal Product Manager - AI Observability

New Relic New Relic · Enterprise · OR · Observability

Principal Product Manager for AI Observability at New Relic. This role owns the AI Observability roadmap and business outcomes, driving engineering and design teams, partnering with enterprise customers on operationalizing AI safely, and building prototypes using agentic AI workflows. The role requires extensive product management experience, experience with production AI/LLM systems, and regular use of AI agents. The goal is to provide visibility into AI systems in production.

What you'd actually do

  1. Own the AI Observability roadmap and the business outcomes leadership tracks (adoption, retention, expansion), plus the parts of the job that aren't purely product: pricing conversations, exec reporting, and cross-functional escalations.
  2. Drive multiple engineering and design teams in parallel toward a coherent product vision, without formal authority over them.
  3. Partner directly with strategic enterprise customers, including their platform and infra teams deciding how to operationalize AI safely, and turn what breaks at their scale into product requirements fast enough to matter.
  4. Build working prototypes yourself using agentic AI workflows, so ideas get pressure-tested before engineering time is committed to them.
  5. Represent AI Observability in executive strategy and prioritization decisions, and make the tradeoff calls when priorities conflict.

Skills

Required

  • 8+ years of product management experience, including ownership of a product area from early vision through GA and post-GA growth.
  • Experience operating as a senior individual contributor who drives outcomes across teams without formal management authority.
  • Demonstrated experience partnering directly with enterprise customers on production AI or LLM systems: tracing, evaluation, governance, cost, or failure modes at scale.
  • Regular, current use of multiple concurrent AI agents in your own work, run asynchronously and backed by a verification process you trust instead of manual line-by-line review.
  • Experience representing a product area in executive-level strategy and prioritization discussions.

Nice to have

  • Prior experience in observability, APM, security, or developer tools.
  • Experience sitting in customer escalations at the VP or CTO level.
  • A public track record (writing, talks, open source) of how you personally use agentic AI workflows.
  • You've built or shaped the verification and review systems your team trusts to run AI agents at scale, not just operated inside systems someone else built.

What the JD emphasized

  • ownership of a product area from early vision through GA and post-GA growth
  • Demonstrated experience partnering directly with enterprise customers on production AI or LLM systems: tracing, evaluation, governance, cost, or failure modes at scale
  • Regular, current use of multiple concurrent AI agents in your own work, run asynchronously and backed by a verification process you trust instead of manual line-by-line review
  • This shows up across the whole job, not just code: specs, prototypes, evaluation, research, even parts of go-to-market.

Other signals

  • AI Observability is one of the company's top strategic initiatives
  • running it like a startup inside the company: small teams, fast iteration, direct executive sponsorship, and a mandate to ship
  • take it from vision through GA, then keep pushing past GA, where most of the real work actually happens
  • working directly with some of the largest AI deployments in the world
  • Partner directly with strategic enterprise customers, including their platform and infra teams deciding how to operationalize AI safely
  • Build working prototypes yourself using agentic AI workflows
  • Regular, current use of multiple concurrent AI agents in your own work, run asynchronously and backed by a verification process you trust instead of manual line-by-line review
  • This shows up across the whole job, not just code: specs, prototypes, evaluation, research, even parts of go-to-market.