Lead Trust & Safety Policy at a fast-growing AI music platform, shaping policies for content and behavior enforcement.
Posted by employer 2 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
What you'll build
Must have
Nice to have
AI in the day-to-day
We believe AI amplifies and empowers the people who make music.
Requirements
Not disclosed in this posting: work arrangement, visa sponsorship.
Benefits
Joblaze summary
The Sr. Manager of Policy at Suno is responsible for developing and overseeing Trust & Safety policies that address content moderation, fraud, and regulatory compliance in the rapidly evolving landscape of AI-generated music. This role requires expertise in creating machine-enforceable policies and a strong understanding of music rights and regulatory frameworks. Ideal candidates will have significant experience in trust and safety within user-generated content platforms, along with a proven track record of influencing cross-functional teams. Suno's focus on scalable policy solutions reflects its commitment to maintaining a safe and fair creative environment.
Joblaze insights
Quick facts
From the original posting
Suno exists to unlock the joy of making music. Millions of people use Suno to turn ideas into songs, and our platform generates music at a scale no moderation playbook was written for. We believe AI amplifies and empowers the people who make music, and keeping that ecosystem safe, fair, and trusted is core to the product, not a cost center bolted onto it.
Listen to the Suno version of this role! https://suno.com/s/4IWNXlPv9MXDsCQe
You will lead Trust & Safety Policy at Suno. Directly building and shaping our policies, you will also partner with PM, Eng, and Legal to understand the impact policies have on detection and remediation of violative content, fraud, bots, and identity issues, while also navigating music rights and our regulatory obligations. Generation volume grows faster than any human review model can, so we focus on policies that enable our enforcement systems to scale with the platform, hold it to a high degree of accuracy, and understand what decisions cost. You will report to the Head of Trust & Safety and partner regularly with Comms, Product, Engineering, ML, and Legal.
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.
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.
Fluency in the regulatory landscape shaping platform policy (DSA, OSA and emerging AI-content regimes) and a record of converting obligations into operational requirements rather than memos.
Working knowledge of music rights, IP or media licensing sufficient to write credible policy alongside Legal without needing them to hold the pen.
Evidence of moving Product, Engineering and Legal to adopt policy positions they did not start with.
Writing that operators, executives and regulators can each use: precise enough to enforce, clear enough to defend publicly.
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.
$158,880- $200k base salary (before equity)
Company Equity Package
16 Weeks of Paid Parental Leave
Creative Education Stipend
Generous Commuter Allowance
In-Office Lunch (5 days per week)
Standard company text repeated across Suno's postings is omitted here.