About the role
We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your Opportunity At New Relic, we provide our customers real-time insights so they can innovate faster. Our software delivers insightful observability tools across different technologies and distributed systems, enabling software engineering teams to quickly identify, understand, and solve issues. As AI becomes a top strategic priority, we are looking for a Lead Product Designer to join our AI Monitoring team in Hyderabad or Bangalore. This is a career-defining opportunity to own design in an emerging space, shaping a product category that is evolving rapidly. You will work within an engineering-heavy team (16 engineers) to design for "APM for AI," providing end-to-end visibility into the AI stack—from the application layer down to infrastructure. You will tackle complex challenges like visualizing multi-agent flows, making LLM trace data legible, and designing for progressive autonomy in a space where no established design playbook exists. What You’ll Do Lead End-to-End Design: Serve as the product design lead for AI Monitoring, shaping the product strategy and moving the platform in the right direction through high-autonomy and fast iteration. Design for Complexity: Create information-dense interfaces that make telemetry data—including traces, metrics, logs, and topology maps—legible and actionable for expert users without "dumbing it down". Rapid Prototyping: Move at engineering speed by building functional demos and interactive prototypes in code-adjacent environments (primarily Claude Code, with familiarity of Cursor, v0, Replit) to communicate vision more effectively than static mocks. Solve Novel AI Problems: Define how users build trust in AI-generated insights, surface AI confidence levels, and design human-in-the-loop patterns for agentic workflows. Collaborate and Influence: Co-create with product and engineering partners, proactively managing stakeholder expectations and translating project issues into language they can understand. Apply Systems Thinking: Design and execute product-wide pattern families that ensure consistency across the New Relic platform. Conduct frequent user research: Generative and evaluative interviews with customers to optimize and ensure product market fit. Your