Software Engineer, Trust & Safety

About Suno

Suno is a music company for the next generation of creators. Its AI-powered platform makes it easy for anyone to create original music. Built by musicians and engineers, Suno empowers users to turn ideas into fully produced tracks in minutes and unlocks a more rewarding music making experience full of endless new creative possibilities. Whether you're a first-time songwriter or a seasoned artist, Suno helps you make music that's meaningful, personal, and uniquely yours.

About the Role

Suno is hiring a Software Engineer, Trust and Safety, to be on the front lines of protecting our platform and users from abuse, fraud, and harmful behaviors / content. Your work will directly impact user safety and platform integrity, making it a more trustworthy place for our community.

What You'll Do

• Build and maintain data pipelines for bot detection and content moderation using Python, Snowflake, and Dagster

• Design and implement anomaly detection systems to identify suspicious patterns in user behavior and platform activity

• Develop internal tools and dashboards for Trust & Safety operations and investigations

• Help improve detection algorithms and reduce false positives

• Build automated systems for content moderation, user verification, and abuse prevention

• Analyze large datasets in Snowflake to uncover new attack vectors and improve existing detection methods

• Work closely with product and engineering teams to implement Trust & Safety features at scale

• Help finance teams reduce fraudulent transactions and chargebacks by identifying and preventing payment abuse

What You'll Need

• 3+ years of experience in Trust & Safety, fraud detection, or content moderation

• Strong Python and SQL skills (5+ years preferred)

• Experience with data engineering tools and pipelines (Dagster, Airflow, or similar)

• Proficiency with SQL and data analysis (Snowflake experience preferred)

• Experience building internal tools and dashboards for operational teams

• Understanding of statistical analysis and anomaly detection techniques

• Experience with real-time systems and event-driven architectures

• Strong problem-solving skills and attention to detail

• Knowledge of anti-abuse techniques, bot detection, and content moderation systems

Nice to Have

• Experience with machine learning pipelines and model deployment

• Background in cybersecurity or anti-fraud systems

• Knowledge of behavioral analytics and user journey analysis

• Experience with A/B testing and experimentation in Trust & Safety

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)

Compensation

$170K – $240K • Offers Equity