Software Engineer, Trust & Safety

Suno · San Francisco · $170K – $240K · Engineering

Posted 2026-06-02

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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.

Check out our Suno version of the job here: https://suno.com/s/FsUvdRnu5MoxhjY2

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

- Bachelor's degree or equivalent required.

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.

COMPENSATION

The annual salary range for this role is $170K – $240K + target equity + benefits (including medical, dental, vision, and 401k)

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)

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