Enterprise · Observability
Currently tracking 2 active AI roles, down 17% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $163k–$272k (avg $213k).
New Relic currently has 3 active AI-related roles in our index. The most common open titles are: Manager- Software Engineering, Principal Product Manager - AI Observability, Software Engineer Manager (Database Observability). Most positions are in Engineering and Product.
New Relic's active AI hiring is concentrated in: agents (100%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
New Relic is hiring AI talent in: India (2 roles), United States (1 role).
Job postings at New Relic most frequently mention: Python, Observability, Machine Learning, Go, Content Generation.
In the past 30 days, New Relic has posted 4 new AI-related roles. That is a -20% change versus the prior 30 days (5 → 4).
| Title | Stage | AI score |
|---|---|---|
| Software Engineer Manager (Database Observability) Engineering Manager (M3) to lead a senior, high-performing team building next-generation Database Observability products. The team will own the entire lifecycle of critical telemetry data flows from lightweight database agents and high-throughput ingestion pipelines to intelligent DB recommendation engines and autonomous DB AI Agents, leveraging cutting-edge AI technologies including Agentic AI, MCP, and LLMs. | AgentServe | 7 |
| Manager- Software Engineering Engineering Manager for Kubernetes Observability team at New Relic. The role involves leading a team of Go and Python engineers to develop and maintain Kubernetes integrations, including AI-driven SRE Agents for anomaly detection and diagnosis. The team builds data collectors, backend services, and UI dashboards. Experience with distributed systems, container orchestration, and AI/agent workflows is required. |
| AgentServe |
| 7 |