Product Manager, ML Research

Suno•Boston, MA

6d•$250,000 - $330,000•Onsite

About The Position

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.

Requirements

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

Nice To Haves

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.

Responsibilities

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.