We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfilment 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 RoleAs a data Scientist on Growth Product, you'll own the analytics for the early-life user journey: everything from the moment someone lands on Suno through their first sessions, first songs, and first reasons to come back. A user's first few experiences are some of the most important inflection points in their lifecycle, and getting them right is one of the highest-leverage problems at Suno. You'll lead data science support on the Growth Activation team, working very closely with product, engineering, and design.
What You'll DoOwn the analytics for how new users activate and form habits on Suno, from signup and onboarding through everything that happens in their first week on Suno
Design experiments that improve the early-life journey, from push notifications and lifecycle messaging to product surfaces like Hooks, Create, and net-new experiences
Sit on a centralized data science team but serve as the lead DS on Growth Activate, collaborating closely with product, engineering, and design
Advance our mission of making creative fulfillment a daily reality for everyone by turning first visits into daily creative habits
Contribute to building strong data foundations as part of our awesome data science team
5-7+ years in data science or product analytics roles, ideally on consumer products
Advanced proficiency in SQL, Python, and statistical modeling
Deep experimentation experience grounded in statistical rigor: designing and running experiments end to end, deriving clear insights, and making strategic recommendations
A broad data science toolkit and the judgment to pick the right tool for the right question, all ultimately in service of making thoughtful product decisions
A self-starter mentality with an ownership mindset: you thrive in ambiguity, wear multiple hats, and never stop learning
Strong cross-functional collaboration: you work closely with product, eng, and design, and influence stakeholders and teams through data insights
Experience at a fast-growing consumer app, or a startup that scaled through strong product-led growth
Background in activation, lifecycle, or growth analytics
Hands-on AI usage in day-to-day data science work (agents, prompting, building small tools)
A love of music or creative tools
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 NotesApplicants must be eligible to work in the US.
Perks & Benefits for Full-Time EmployeesCompany 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.
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