SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 195,200 - 256,200 / annual
Suno is building the world's first creative entertainment platform for music creation, backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, and NVIDIA Ventures. As the fastest-growing consumer entertainment company and leader in AI music, Suno is scaling rapidly with millions of users creating music across all skill levels.
You will lead Trust & Safety at Suno, reporting to the Head of Operations. This is a leadership role owning enforcement operations, policy, vendor programs, quality management, and training across the platform. You will partner closely with Product, Engineering, Legal, ML, and Communications to scale detection and remediation of violative content, fraud, bots, identity issues, and music rights violations.
Key responsibilities include:
- Build and lead the Trust & Safety 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 all Trust & Safety vendor partnerships: selection, contract negotiation support, capacity strategy, quality accountability, and decisions on 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.
The role requires navigating the challenge that generation volume grows faster than any human review model can handle, so the focus is on building enforcement systems that scale with the platform, maintain high accuracy, and have clear cost visibility.
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.
- Track record of moving Product, Engineering, Legal, and Policy without direct authority.
Nice to have:
- 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.
