Principal Product Manager - AI Observability

Your opportunity

Every company shipping AI right now has the same problem: they can't see what their AI is actually doing in production. New Relic is building the answer, AI Observability, and it's one of the company's top strategic initiatives. We're running it like a startup inside the company: small teams, fast iteration, direct executive sponsorship, and a mandate to ship. As the Principal Product Manager and business owner of this initiative, you'll 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.

What you'll do

• 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.
• Drive multiple engineering and design teams in parallel toward a coherent product vision, without formal authority over them.
• 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.
• Build working prototypes yourself using agentic AI workflows, so ideas get pressure-tested before engineering time is committed to them.
• Represent AI Observability in executive strategy and prioritization decisions, and make the tradeoff calls when priorities conflict.
• Ship to GA, then keep iterating: pricing, packaging, and the next wave of features GA customers ask for once they're live.

This role requires

• 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.
• We're not asking whether you use AI tools. We're asking how far along you are, and we mean it as a hard line, not a preference. This shows up across the whole job, not just code: specs, prototypes, evaluation, research, even parts of go-to-market. Work that used to take a team weeks should now happen in the background while you're on the next thing, and your backlog should show it.

Bonus points if you 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 so