Own the Trust & Safety policy portfolio end to end: content and behavior policies, enforcement standards, and the policy roadmap as generation volume and product surface area grow.

Write policy that machines can enforce: translate principles into decision criteria, model thresholds and reviewer guidance that produce consistent outcomes at millions of generations per day.

Own policy for the hard genAI music problems: artist voice impersonation, rights-adjacent abuse, synthetic content disclosure and prompt-level misuse, in partnership with Legal.

Turn regulatory obligations (DSA, OSA and emerging AI-content regimes) into enforceable internal policy and audit-ready documentation, in partnership with Legal.

Run the policy development lifecycle: risk assessment, stakeholder review, launch guidance, enforcement calibration and post-launch measurement of policy effectiveness.

Set the escalation and edge-case framework: who decides what, on what timeline, with what precedent, so novel cases become policy instead of one-off judgment calls.

Publish externally when it counts: community guidelines, transparency reporting inputs, and policy explanations creators can actually understand.

Partner with Product and Engineering early so policy shapes features before launch rather than cleaning up after them.

What you'll bring

7+ years in trust & safety, platform policy, or integrity work, including 3+ years owning a policy domain at a UGC or generative AI platform.

A portfolio of policies you wrote that shipped and held up: you can walk through the risk assessment, the enforcement design, and what you changed after launch data came in.

Demonstrated experience making policy machine-enforceable: decision trees, model threshold input, labeling taxonomies or reviewer guidance that produced measurable consistency gains.

Sr. Manager, Policy

Responsibilities

Qualification

Preferred

Benefits

Company

Suno

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