[Hiring] Product Manager - Data Platform @New Relic

Role Description

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 spans four big areas:

• Storage: Deciding how we store, tier, retain, and price data at enormous scale, and making sure the economics work for both customers and New Relic.
• Query: Making Dirac the place customers go to ask questions, using NRQL, SQL, or natural language through AI. You'll own the experience for engineers, analysts, and agents alike.
• At-rest processing: Moving work to the data instead of the other way around. This covers streaming alerts, continuous aggregation, and roll-ups that make large datasets fast and cheap to use.
• Federation: Querying data where it lives, whether that's in New Relic, in the customer's own storage, or across regions. This covers New Relic Lens, data sovereignty and residency, and a single view across data the customer owns.

The team is customer-led, highly technical, and moves fast. You'll thrive here if you're curious and excitable about hard problems, comfortable with complexity and ambiguity, and like to experiment, including with AI, to find the answer instead of waiting for it. If you want to spend time with customers, go deep with engineers, and shape a platform used by thousands of companies, this is the role for you!

Qualifications

• A Bachelor's degree or equivalent practical experience. A background in Computer Science or a related technical field is preferred.
• 5+ years of product management experience building and launching technical products, ideally platform, data, or infrastructure products.
• A strong technical foundation. You can go deep on storage, query engines, distributed systems, and cloud architecture with your engineering partners.
• Hands-on experience with AI and LLM tools, both to make yourself more productive and to build 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. You can 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. You don't wait for direction; you figure out what needs to happen and lead the charge.

Requirements

• 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.

Benefits

• Healthcare, dental, and vision benefits.
• Parental leave and planning.
• Mental health benefits.
• 401(k) plan and match.
• Flex time-off.
• 11 paid holidays.
• Volunteer time-off.
• Other competitive benefits designed to improve the lives of our employees.