# Software Engineer, Trust & Safety

**Company:** [Suno](https://hotfix.jobs/companies/suno)
**Location:** San Francisco, CA
**Role:** Security Engineering
**Salary:** $170k – $240k/yr
**Experience:** 3+ years
**Skills:** Python, SQL, Snowflake, Dagster, Airflow, Anomaly Detection, Machine Learning, Cybersecurity, A/B Testing
**Posted:** 2026-06-02

> Suno is seeking a Software Engineer, Trust & Safety to protect its platform and users from abuse, fraud, and harmful content. This role involves building data pipelines, anomaly detection systems, and internal tools to ensure user safety and platform integrity.

## Job Description

## 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

## 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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