New Relic
Enterprise · Observability
- HQ
- San Francisco, US
- Founded
- 2008
- Website
- newrelic.com
Enterprise · Observability
Currently tracking 2 active AI roles, down 43% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $163k–$272k (avg $213k).
New Relic currently has 4 active AI-related roles in our index. The most common open titles are: Manager- Software Engineering, Principal Product Manager - AI Observability, Software Engineer II, 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), Spain (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 5 new AI-related roles.
| 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 |
| Senior Software Engineer Senior Software Engineer at New Relic to build next-generation Database Observability products. The role involves developing database agents, ingestion pipelines, recommendation engines, and AI agents leveraging LLMs for automated diagnostics and remediation. | AgentData |
| 7 |
| Lead Product Designer Lead Product Designer for New Relic's AI Monitoring team, focusing on designing "APM for AI" to provide end-to-end visibility into AI stacks. The role involves creating complex, information-dense interfaces for telemetry data, rapid prototyping in code-adjacent environments, and designing for trust, confidence levels, and human-in-the-loop patterns for agentic workflows. Requires deep understanding of AI interaction patterns, explainability, evals, prompt engineering, and agentic UX, with strong data visualization and prototyping skills. | Agent | 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 |
| Senior Data Scientist Senior Data Scientist at New Relic in Bangalore, focusing on applying classical ML to time-series/anomaly detection and building AI Agents/LLM orchestration for autonomous observability. Requires 5+ years of experience, Python, SQL, and proven production deployment of models. Experience with LLM frameworks and MLOps is a plus. | AgentServe | 7 |