ABOUT SUNO

We're building the world's first platform for creating and discovering original music, including Suno Studio, a generative audio workstation, and Hooks, a new way to create and share videos that bring songs to life.

Powered by the world's most advanced music-creation model and designed to amplify imagination, our platform makes it possible for anyone to turn inspiration into music, where ideas flow into sound, songs become yours, and everyone can experience the joy of creating.

Suno is one of the fastest-growing AI startups in the world, backed by leading investors including Menlo Ventures, Lightspeed Venture Partners, Matrix, NVentures, and Hallwood Media.

ABOUT THE ROLE:

Suno is hiring an Engineering Manager, Trust & Safety, to lead the team responsible for protecting our platform and users from abuse, fraud, and harmful content. You'll build and grow a high-performing engineering team while staying close to the technical work — designing detection systems, shaping evaluation models and data pipelines, and driving the strategy that keeps Suno a safe and trustworthy place for our community of over 100 million creators.

WHAT YOU'LL DO:

• Manage, develop, and grow a team of Trust & Safety engineers — including hiring, performance management, career development, and fostering team culture

• Own the technical direction for bot detection, content moderation, anomaly detection, and fraud prevention systems

• Drive the design and evolution of data pipelines that power detection and enforcement at scale

• Oversee the development of internal tools and dashboards for Trust & Safety operations and investigations

• Partner with product, engineering, legal, and finance leaders to define Suno's Trust & Safety roadmap and coordinate cross-team execution

• Analyze emerging attack vectors and adapt detection strategies to stay ahead of adversarial behavior

• Ensure high code quality, robust testing, and scalable architecture while balancing rapid iteration with long-term maintainability

WHAT YOU'LL NEED:

• 4+ years managing an engineering team focused on Trust & Safety, fraud detection, content moderation, or a related domain

• Strong technical foundation in Python and SQL, with the ability to review code, guide architectural decisions, and jump into the codebase when needed

• Experience with data engineering pipelines (Dagster, Airflow, or similar) and analytical databases (Snowflake preferred)

• Understanding of anomaly detection techniques, anti-abuse strategies, bot detection, and content moderation systems

• Experience building and operating real-time systems and event-driven architectures

• Excel at both technical leadership and people management — you can ship complex systems and grow the careers of the engineers who build them

• Thrive in ambiguous, fast-paced environments and can balance multiple priorities while maintaining team focus

• A love of music (listening, exploring, making)

NICE TO HAVE:

• Experience at a consumer tech or creator-platform company

• Experience at both larger and smaller, high-growth companies

• Experience scaling a Trust & Safety team from early stage to 10+ engineers

ADDITIONAL NOTES:

• Applicants must be eligible to work in the US

• This role requires working onsite 5 days a week, per Suno’s company policy

• Willingness to travel (up to 10%) to collaborate with team members across Suno office locations.

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)

COMPENSATION:

$250,000 - $280,000 base salary (before equity)

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.