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Director, Trust & Safety
About the position
Suno is building the world's first creative entertainment platform where anyone can create music. The company is experiencing rapid growth and is a leader in AI music, backed by prominent investors. This role is crucial for scaling the platform's safety and integrity measures as content generation volume increases. The Director will lead Trust & Safety operations, policy, and partner with various teams to address violative content, fraud, bots, identity issues, music rights, and regulatory obligations. The focus is on building scalable enforcement systems with high accuracy and cost-efficiency. The role reports to the Head of Operations and collaborates with Comms, Product, Engineering, ML, and Legal.
Responsibilities
- Build and lead the T&S team, including enforcement operations, policy, vendor programs, quality management, and training.
- Own enforcement economics end-to-end: cost per decision, precision and recall tradeoffs at volume, automation rate targets, queue design, and the vendor versus in-house mix.
- Govern AI-assisted decisioning: model-assisted enforcement pipelines, human-in-the-loop thresholds, appeals architecture, and audit accountability for automated actions.
- Own the BPO relationship and every Trust & Safety vendor partnership: selection, contract negotiation support, capacity strategy, quality accountability, and the decision of what stays outsourced versus moves in-house.
- Run the operational layer of music rights enforcement: rights-matching abuse patterns, impersonation and copyright workflows, in close partnership with Legal.
- Partner with Legal to translate regulatory regimes (DSA, OSA and emerging AI-content rules) into tooling, process and measurable operational readiness.
- Represent Trust & Safety to executive leadership with clear metrics and honest tradeoffs.
Requirements
- 8+ years in trust & safety, integrity, or content operations, including 4+ years leading teams through significant scale inflections.
- Demonstrated ownership of enforcement metrics at a UGC or generative AI platform: automation rate, decision accuracy, cost per action, appeal overturn rate.
- Experience building or governing model-assisted enforcement with human-in-the-loop design and audit accountability.
- A track record of moving Product, Engineering, Legal, and Policy without direct authority.
Nice-to-haves
- Music, media or IP-adjacent platform experience and fluency in rights-matching abuse patterns.
- Direct exposure to DSA, OSA or emerging AI-content regulatory regimes as operational requirements.
Benefits
- medical
- dental
- vision
- 401k