Level

Suno

Sr. Manager, Policy

Suno is hiring a Sr. Manager, Policy in San Francisco, United States. It pays $159k-$200k a year and Level rates it ; you can apply on Suno.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Suno has 67 other open roles on Level.
  • Posted in the last few days.

AI in this role

About Suno

We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world.

Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible.

Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA).

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

The role

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.

What you'll do

  • 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.

  • 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.

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.

Compensation and benefits

$158,880- $200k base salary (before equity)

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)

Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.

How we rate this

Sr. Manager, Policy at Suno rates 67 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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