Product Manager - Data Platform

Atlanta · Charlotte · Chicago · Portland · Oregon · USD 151,000-189,000 · 5+ years experience · Hybrid · Posted Oct 6, 2026

At a glance

As a Product Manager for Dirac at New Relic, you will own the product strategy for the platform that holds and serves customer data.
You'll set the direction for how data is stored, processed at rest, queried, and federated across clouds, regions, and sovereign boundaries, and how AI changes those areas.

Own the vision and strategy for Dirac by turning a long-term view of storage, at-rest processing, query, and federation into a clear, prioritized roadmap.
Act as a true full business owner to spot roadblocks, line up resources, and drive complex platform initiatives to completion.
Define the future of querying observability data, including how customers use NRQL, SQL, and AI-driven natural language queries.
Drive at-rest processing by defining the product for streaming alerts, aggregation, and in-platform processing.
Lead federation and data sovereignty by building the strategy for querying data across clouds, regions, and customer-owned storage.
Experiment with AI in the product and in your own work by prototyping, testing, and shipping AI features.
Talk with customers constantly to learn how they store and query data, where they get stuck, and what they wish they could do.
Be data-driven by defining and tracking platform metrics such as query volume, latency, data stored, cost per GB, and adoption.
Partner across the company with engineering, architecture, design, finance, sales, and marketing to deliver end-to-end value.
Bring clarity to complexity by explaining deep technical tradeoffs to engineers and executives.

A Bachelor's degree or equivalent practical experience.
5+ years of product management experience building and launching technical products, ideally platform, data, or infrastructure products.
A strong technical foundation to go deep on storage, query engines, distributed systems, and cloud architecture with engineering partners.
Hands-on experience with AI and LLM tools, both for personal productivity and building products on top of them.
A proven ability to analyze qualitative and quantitative data and turn it into high-impact decisions.
Comfort with ambiguity and complexity to take a vague problem and turn it into an actionable plan.
Excellent interpersonal, written, and verbal communication skills, and the ability to lead through influence rather than authority.
A strong bias for action without waiting for direction.

Experience with databases, data warehouses, lakehouses, or query engines (e.g. ClickHouse, Snowflake, Databricks, BigQuery, Druid, Elasticsearch).
Experience with observability.
Experience with streaming and real-time processing systems (e.g. Kafka, Flink).
Familiarity with data sovereignty, data residency, or regulated environments (e.g. FedRAMP, HIPAA, GDPR).
Direct experience with observability products or telemetry data at scale.
Experience with usage-based pricing, unit economics, or COGS on a data platform.
Experience with public cloud infrastructure services (AWS / Azure / GCP).
Enterprise B2B SaaS experience with a developer or data persona.

This role offers a flexible workforce model supporting fully office-based, fully remote, or hybrid work.

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