Privacy Engineering Lead
Suno is hiring a Privacy Engineering Lead for a remote role open to applicants in United States. It pays $277k-$364k a year and Level rates it ; you can apply on Suno.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- The posting mentions Python, AI evaluation and privacy engineering among its tools and skills.
- Level classes it as a lead role.
- Suno has 65 other open roles on Level.
AI in this role
Build and lead Suno's privacy and AI governance function from scratch to manage data and permissions across platforms, models, and agents.
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).
About the Role
We're looking for a Privacy Engineering Lead to build Suno's privacy and AI governance function from scratch. You'll set the technical direction for how we handle data and permissions across our platform, models, and agents — building the infrastructure that enforces policy at the point of use and verifies outcomes like retention and deletion. You'll partner closely with Legal and Product while hiring and growing your own engineering team to scale this work across the company.
Listen to the song we made about it: https://suno.com/s/OXY6WfUr15oSP1UR
What You'll Do
Build the policy foundations for how Suno handles data, permitted uses, and AI, in partnership with Legal.
Own data discovery, classification, and permissions mapping across our product, analytics, and vendor systems.
Design and operate governance controls across our products, data platforms, models, and agents, enforcing consent, access, and data-sharing rules.
Lead verified user rights operations, including access, correction, deletion, and consent management, partnering with Product on self-service tools.
Hire and grow a dedicated privacy engineering team, giving this work the focused ownership it needs to scale.
Help make responsible data handling part of how Suno builds every new model and feature, in service of making creative fulfillment a daily reality for everyone.
What You'll Need
Must-Haves
8-10 years hands-on software engineering experience, with the technical depth to help build and ship enforcement infrastructure yourself, not only define policy for others to implement.
Deep experience in privacy engineering or data governance, including working familiarity with regulatory frameworks like GDPR and CCPA.
Experience as an engineering manager who has maintained real technical depth, or as a Staff+ engineer ready to grow into people management.
Nice-to-Haves
Experience with AI/ML governance, model evaluation pipelines, or generative AI systems.
Background at a consumer tech company at scale, or one with a significant European user base.
Prior experience as an early or founding privacy/governance hire at a growing company.
Work Location Policy
This role is expected to work from the designated Suno office 5 days a week, per Suno's company policy. Full-time employees will receive competitive equity packages, and comprehensive benefits. The actual base salary offered may vary depending on location, skills, qualifications, and experience.
Additional Notes
Applicants must be eligible to work in the US.
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)
Compensation:
The annual salary range for this role is $276,960 - $363,510 + target equity + benefits (including medical, dental, vision, and 401k)
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
Privacy Engineering Lead at Suno rates 65 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.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide that one model's output is better than another's for a given task?
- Tell me about a project where privacy engineering was part of your work. What did you do?
- Tell me about a project where ai governance was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where compliance was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Evaluation, Privacy Engineering, AI Governance, Data Governance, and Compliance. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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