Product Manager - Data Platform

About the role

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! As a Product Manager for Dirac, you will own the product strategy for the platform that holds and serves our customers' data. You'll set the direction for how data is stored, processed at rest, queried, and federated across clouds, regions, and sovereign boundaries, and for how AI changes all of those.

This role is remote.

Responsibilities

• Own the vision and strategy for Dirac: Turn a long-term view of storage, at-rest processing, query, and federation into a clear, prioritized roadmap, and update it as the market and the technology change.
• Act as a true full business owner: Take initiative to spot roadblocks, line up resources, and drive complex platform initiatives to completion. Know your query volume, data growth, unit costs, and margins.
• Define the future of querying observability data: Shape how customers use NRQL, SQL, and AI-driven natural language queries, and how AI agents become first-class users of the platform.
• Drive at-rest processing: Define the product for streaming alerts, aggregation, and in-platform processing, so customers get answers faster and spend less to get them.
• Lead federation and data sovereignty: Build the strategy for querying data across clouds, regions, and customer-owned storage, including Lens, data residency, and compliance requirements.
• Experiment with AI, both in the product and in your own work: Prototype, test, and ship AI features on top of the platform. Use AI tools every day to move faster, analyze data, and level up your craft.
• Talk with customers constantly: From the largest enterprises to fast-growing startups, learn how they store and query data, where they get stuck, and what they wish they could do.
• Be data-driven: Define and track platform metrics such as query volume, latency, data stored, cost per GB, and adoption, and use them to make decisions and tell the story.
• Partner across the company: Work closely with engineering, architecture, design, finance, sales, and marketing to deliver end-to-end value and successful go-to-market launches.
• Bring clarity to complexity: Explain deep technical tradeoffs to engineers in 20 minutes and to executives in 20 seconds, and get people aligned when the path isn't obvious.

Requirements

• A Bachelor