Product Manager, ML Research

Job description

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). Founded in 2023 by Harvard alumni with a shared passion for music, Suno has quickly grown to 250 employees while empowering more than 100 million people to create original songs. In 2026, we raised a $400 million Series D at a $5.4 billion valuation to continue building innovative products that amplify creativity and imagination. ABOUT THE ROLE Artificial intelligence is transforming every creative field. At Suno, we are building one of the world's leading generative music models, enabling millions of people to become musicians for the first time. We are hiring the first Product Manager dedicated to our Research organization. In this role, you will partner closely with world-class machine learning engineers to identify the highest-impact opportunities for improving our models. By combining user understanding with rigorous evaluation and product judgment, you will help researchers focus on the problems whose solutions have the greatest impact on our business. This is a rare opportunity to bring product judgment into the model development process: helping ensure our research efforts are grounded in real user needs, evaluated thoughtfully, and translated into meaningful improvements in what people can create with Suno. Listen to the song we made about it: https://suno.com/s/Y0WfEP7qALvaZanH WHAT YOU'LL DO - Define what “good” means — Own the evaluation frameworks and quality metrics for Suno’s foundational music model: what we measure, why it matters, and how we know the model is improving. - Connect creator needs to model capabilities — Deeply understand how people create with Suno, identify where the model helps or falls short, and translate those insights into research problems the team can act on. - Bridge product and research — Partner with user-facing PMs, engineers, and data scientists to understand real-world model behavior and turn those learnings into better evaluations, clearer priorities, and more useful capabilities. - Shape model priorities in partnership with Research — Bring user insight, data, and business context into roadmap discussions, helping the team make thoughtful tradeoffs when research opportunities and product needs compete. - Bring new models and capabilities to market — Work with Research, Product, and Product Marketing to launch model improvements in a way users can understand, adopt, and get value from. - Go deep technically — Run experiments, dig into model behavior, and work in the details alongside researchers and data scientists. WHO YOU ARE A product leader with a deep passion and curiosity for AI: - 6+ years of product management experience, or equivalent experience building highly technical products - Experience partnering closely with machine learning researchers, model training teams, or AI evaluation systems - Strong technical intuition and the ability to engage deeply with complex machine learning concepts - A strong technical foundation, ideally with a background in computer science, engineering, mathematics, physics, or a related field - Exceptional product judgment and the ability to bring clarity and structure to ambiguous, research-driven problems - A first-principles thinker who is naturally curious about how frontier AI models work and how they can be improved - Operates with urgency and thrives in fast-moving, iterative environments - Excited by the intersection of AI, creativity, and music Bonus Points - Experience working at a frontier AI lab or on a foundation model team - Experience designing or building AI evaluation frameworks, benchmarks, or human evaluation systems - Experience working with large-scale datasets, data quality, or annotation pipeline. ADDITIONAL NOTES - Applicants must be eligible to work in the US. - This role is expected to work from the designated Suno office 5 days a week, per Suno's company policy. - Must be willing to travel once per quarter for larger team meetings. 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: $250K – $330K base salary (before equity) 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.