Product Manager, ML Research

About the role

This position centers on embedding product intelligence directly into the evolution of Suno's machine learning models. The hired individual will work in concert with ML engineers to identify critical avenues for model advancement, ensuring that research initiatives are tethered to user requirements and overarching business objectives. They will be responsible for converting intricate research findings into concrete enhancements that elevate the creative experience for users. The role demands a constant dialogue between the nuances of model behavior and the realities of product delivery. Success in this position will be defined by the ability to turn high-level ambitions into measurable outcomes for the music creation platform. The individual will play a pivotal role in shaping how artificial intelligence directly empowers human creativity. Ultimately, this role is about ensuring that the core technology of Suno remains at the forefront of both innovation and usability.

Key facts

What you'll do

• Establish and maintain evaluation frameworks and quality metrics for Suno's core music model, defining success and tracking progress through quantifiable indicators.
• Analyze user interactions with Suno to dissect model strengths and weaknesses, transforming raw behavioral data into actionable research problems and hypotheses.
• Serve as a primary liaison between user-facing product teams, engineering squads, and data scientists to refine model evaluations and prioritize capabilities based on impact.
• Contribute user insights, empirical data, and business context to research roadmap discussions, aiding in the balance between exploratory research and pressing product demands.
• Coordinate with Research, Product, and Product Marketing teams to orchestrate the launch of new model features, ensuring users can easily understand and adopt complex functionalities.
• Engage deeply with technical details by running experiments and analyzing model behavior alongside researchers and data scientists to uncover underlying mechanisms.
• Synthesize qualitative and quantitative findings to articulate the user value proposition of potential model improvements and research trajectories.
• Drive the definition of key performance indicators that align model advancements with user satisfaction and retention metrics.
• Translate ambiguous product challenges into structured research questions that guide the machine learning team toward viable solutions.
• Champion a cycle of continuous feedback where model outputs are rigorously tested against real-world creative workflows and user expectations.

Requirements

• Six or more years of experience in product management, or similar experience with highly technical products in demanding environments.
• Prior collaboration with machine learning researchers, model training teams, or individuals who have developed AI evaluation system development practices.
• Strong technical understanding and the demonstrated ability to engage with complex machine learning concepts and terminology.
• A solid technical background, preferably rooted in computer science, engineering, mathematics, or physics, to navigate intricate model architectures.
• Exceptional product judgment and a proven skill in structuring ambiguous, research-driven challenges into clear strategic pathways.
• A first-principles thinker who possesses an innate curiosity about frontier AI models and the methodologies required for their improvement.
• The capability to drive work with a high sense of urgency while thriving in dynamic, iterative work settings that demand adaptability.
• A deep enthusiasm for the intersection of AI, creativity, and music, viewing technology as a tool for human expression.
• Eligibility to work in the United States is a mandatory requirement for this position.
• Consistent availability to work from the Boston office five days a week is essential for successful integration into the team.

Nice to have

• Direct experience at a frontier AI lab or on a foundational model team where large-scale models are developed and deployed.
• A background in designing or building AI evaluation frameworks, benchmarks, or sophisticated human evaluation systems.
• Hands-on experience with large-scale datasets, data quality assurance, or the management of annotation pipelines in production environments.

Skills & tools

• Machine Learning
• Product Management
• AI Evaluation

Practical notes

Applicants must be eligible to work in the US. This role requires working from the Boston office five days a week. Quarterly travel for team meetings is expected. Benefits include company equity, 401(k) with 3% employer match, medical/dental/vision insurance, unlimited PTO, 16 weeks paid parental leave, creative education stipend, generous commuter allowance, and in-office lunch daily.