Enterprise · Observability
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.
Currently tracking 2 active AI roles, down 43% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $163k–$272k (avg $213k).
| 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. | Agent |
| 7 |
| Principal Product Manager - AI Observability Principal Product Manager for AI Observability at New Relic. This role owns the AI Observability roadmap and business outcomes, driving engineering and design teams, partnering with enterprise customers on operationalizing AI safely, and building prototypes using agentic AI workflows. The role requires extensive product management experience, experience with production AI/LLM systems, and regular use of AI agents. The goal is to provide visibility into AI systems in production. | Agent | 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 |
| Principal Software Engineer - Developer Platform Principal Software Engineer to lead the development of an Agentic AI Developer Platform at New Relic, focusing on enhancing developer productivity and transforming internal tooling. Requires extensive experience in platform architecture, cloud, Generative AI, DevSecOps, CI/CD, IaC, containerization, and strong Python skills, with leadership responsibilities over a large engineering team. | Agent | 7 |
| Software Engineer II Software Engineer II at New Relic focused on building and improving a distributed service architecture for observability. The role involves integrating AI agents and AI-powered workflows into engineering operations, such as code generation, testing, and troubleshooting, to enhance internal development processes and the company's AI-first platform. | Agent | 5 |
| Senior Software Engineer -Alerts Senior Software Engineer role focused on backend services for an observability platform's alerting system. The role involves designing, developing, and deploying Java/Kotlin services that process high-volume telemetry and alerting workloads, with a strong emphasis on reliability, customer impact, and working with distributed data systems at scale. While not directly building core AI models, the role supports AI agents by exposing telemetry data and involves integrating with LLM APIs and RAG workflows as a bonus. | Agent | 5 |
| Manager, GTM Engineering (Automation & AI) Manager for GTM Engineering focused on integrating AI and automation tools into the sales and marketing technology stack to improve efficiency and scale business outreach. Responsibilities include managing tech stack, executing automated workflows, managing data pipelines, and translating data into actionable insights. | Agent | 5 |
| Senior Software Engineer -Alerts Senior Software Engineer role focused on backend services for New Relic's alerting platform, which is part of an AI-first observability solution. The role involves designing, developing, and deploying high-throughput Java/Kotlin services that ingest, persist, and retrieve signal data. A bonus section explicitly mentions hands-on experience with LLMs, AI agents, RAG, and evaluating model output quality, indicating AI/ML is a significant, albeit bonus, aspect of the role's future direction and customer-facing product. | Agent | 5 |
| Senior Software Engineer Senior Software Engineer at New Relic to work on high-performance, big data components powering their observability products. The role involves designing, developing, and deploying scalable features, with a specific focus on implementing AI-enhanced workflows by building MCP (Model Context Protocol) servers to expose telemetry data to LLMs and AI agents. Responsibilities include system ownership for reliability and performance of massive data processing services, code excellence, collaboration with product managers, and optimization of the technical stack. | Agent | 5 |