Senior / Staff Software Engineer, AI Leverage

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).

Listen to the Suno version of this role! https://suno.com/s/375QSVXzMkUOAvwN

About the Role AI is changing how software gets built and how companies run and we intend to be at the front of it. We're hiring a Senior / Staff Software Engineer to build the systems that let every team at Suno move fast and scale with our rapid growth. This is greenfield work with real ownership, and you'll help shape how Suno adopts AI. We're hiring for our AI Leverage team, which empowers engineers and other teams across Suno to move faster at scale with agentic tools.

What You'll Do

• Design and build AI-powered internal systems that let everyone at Suno, from engineers to recruiters, do more with AI

• Own the underlying infrastructure that keeps our AI tooling running in production: reliable, observable, cost-effective, and flexible

• Partner with cross-functional teams to understand their workflows, surface the right problems to solve, and prioritize what gets built next

• Champion best practices for agentic coding and operations, and help teams adopt them across the company

What You'll Need Must-Haves

• You bring 5+ years of full-stack software engineering experience

• You’ve designed, built, and shipped AI-based tools that go well beyond using a coding assistant, and you’re fluent in concepts like MCP, gateways, and evaluations

• You’re eager to learn and share agentic coding best practices and tools

• You have a track record of shipping tooling or systems that support engineering or internal teams

• You thrive in an early-stage, 0→1 environment where the problem space is still being defined

Nice-to-Haves

• You’ve worked with agent frameworks (e.g. LangGraph) and eval or observability tooling (e.g. LangSmith, Braintrust)

• You’ve stood up operational practices for internal systems from scratch

Not sure you meet every point above? Please apply anyway. If you're excited about this work and think you could make an impact here, we'd love to hear from you. The best candidates rarely check every box.

Work Location Policy This role is expected to work from the designated Suno office 5 days a week, per Suno's company policy. Full-time employees will receive competitive equity packages, and comprehensive benefits. The actual base salary offered may vary depending on location, skills, qualifications, and experience.

Additional Notes Applicants must be eligible to work in the US. Perks & Benefits for Full-Time Employees

• Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• 11 Paid Holidays + Unlimited PTO & Sick Time

• 16 Weeks of Paid Parental Leave

• Creative Education Stipend

• Generous Commuter Allowance

• In-Office Lunch (5 days per week)

Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.