Staff Detection & Response Engineer

We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world.

Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible.

Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA).

We’re looking for a Senior / Staff Detection & Response Engineer to design and own how we detect and respond to threats across our environment — the telemetry, the detections, the playbooks, and the on-call rotation. This is a hands-on senior role for an engineer who wants to build detection and response the right way from the ground up and own it end to end.

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  Design and build our detection and telemetry pipeline, including logging coverage, the detection stack, and the data that feeds it.

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  Write high-signal detections mapped to the threats that matter most, starting with the paths that lead to a breach: identity, access, the cloud control plane, and data exfiltration.

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  Build and own incident response — playbooks, on-call, live response, and post-incident reviews that make us better each time.

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  Partner with security and platform engineering to close telemetry gaps and instrument what isn’t yet visible.

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  Set the bar for detection-as-code and a metrics-driven approach to response.

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  Build detection for AI-specific abuse and threats and novel attack patterns as they emerge.

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  Leverage AI to augment yourself so you can focus on the critical work that only you can do.