Product Manager, Recommendations

Suno•San Francisco, CA
•$250,000 - $330,000•Onsite

About The Position

Suno is seeking a Product Manager to lead recommendations and personalization across its creative music platform. The role will define the recommendations strategy and roadmap across product surfaces, partnering with UX product teams to personalize their features. The Product Manager will work closely with Machine Learning Engineers and Data Scientists to build the recommendations system from the ground up and shape how it helps users discover music and ideas that inspire them to create. This opportunity calls for a technical, data-oriented product leader who can connect user needs and behavior to algorithm development, product decisions, and business impact. The role is expected to be performed from Suno’s designated office five days per week, under the company’s policy, with travel once per quarter for larger team meetings. Applicants must be eligible to work in the US.

Requirements

  • At least 6 years of product management experience, with a track record of improving consumer experiences through personalization.
  • Fluency in recommendation systems and their evaluation, and effectiveness as a thought partner to technical teams.
  • Hands-on data analysis experience, including defining success metrics and designing rigorous experiments.
  • Sound product judgment connecting user needs, algorithm development, and business impact.
  • Excitement for building from scratch and bringing clarity to ambiguous problems.
  • Clear communication skills and the ability to align teams around a shared vision.
  • Passion for personalization and curiosity about how people’s tastes shape what they listen to and create.
  • Must be eligible to work in the US.
  • Must work from the designated Suno office five days per week and be willing to travel once per quarter for larger team meetings.

Responsibilities

  • Own the recommendations strategy and roadmap across Suno’s product surfaces and problems.
  • Partner with UX product teams to make their features more personalized.
  • Work with Machine Learning Engineers and Data Scientists to design recommendation approaches and experiments that inspire users to create.
  • Lead product thinking in technical partnerships, grounding decisions in user needs and behavior.
  • Develop a detailed understanding of users and product surfaces.
  • Own experiments that move success metrics.

Benefits

  • Company equity package
  • 401(k) with 3% employer match and Roth 401(k)
  • Medical, dental, and vision insurance (PPO with HSA and FSA options)
  • 11 paid holidays
  • Unlimited PTO and sick time
  • 16 weeks of paid parental leave
  • Creative education stipend
  • Generous commuter allowance
  • In-office lunch five days per week
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