About Suno

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).

About the Role

We’re looking for a Senior / Staff Application Security Engineer to own the security of how our product is built. You’ll be the person who makes sure our code, APIs, and services are secure by design — threat-modeling the product, hardening the application layer, and building the AppSec practice from the ground up.

Listen to the song we made about it: https://suno.com/s/Eh3xgvx2oFpT0QPq

What You’ll Do

• Execute application security end to end: threat-model features and services, and drive remediation of the most significant risks.
• Secure the application layer against the vulnerabilities that matter most — injection, broken authentication and authorization, and insecure APIs.
• Build and run a secure SDLC: code-review guardrails, SAST/DAST, dependency and supply-chain security, secrets management, and pre-production testing.
• Harden authentication, authorization, and session/identity handling across the product.
• Secure the AI-specific application surface — model and inference endpoints, prompt and input handling, and the new classes of vulnerability that come with shipping generative features.
• Partner with product and platform engineering to design security in early and raise the security bar across the codebase.
• Set the standard for how engineering reasons about and ships secure code.