ABOUT SUNO

Suno is a music company built to amplify imagination. Powered by the world’s most advanced AI music model, Suno offers an unparalleled creative platform that includes Suno Studio, a breakthrough generative audio workstation. From shower-singers to aspiring songwriters to seasoned artists, Suno empowers a global community to create, share, and discover music—unlocking the joy of musical expression for all.

ABOUT THE ROLE:

We’re hiring an Analytics Engineer to help transform how we understand, model, and scale the data behind our product and business. You’ll work across Product, Engineering, Science, and GTM teams to turn raw information into the reliable, actionable insights that power Suno’s next generation of creative tools.

If you're a systems-minded builder who loves clean data, clear metrics, and making complex things feel simple, we’d love to chat.

Check out the Suno version of this role here! https://suno.com/s/FQxXsdmsUhz8U0lN

WHAT YOU’LL DO:

• Partner with Product, Science, Engineering, and GTM teams to understand data needs, define key metrics, and translate business requirements into scalable data models.

• Design, build, and maintain dbt transformations and ETL pipelines that turn raw data into reliable, analytics-ready tables.

• Implement data validation, testing, and monitoring frameworks to ensure accuracy, consistency, and timeliness of core datasets.

• Build and maintain dashboards and reports in tools like Hex, Looker, or Mode, giving teams real-time visibility into product and business performance.

• Collaborate with stakeholders to define, instrument, and operationalize the metrics that inform strategic decisions across teams.

• Drive data democratization by developing reusable data products, documentation, and self-serve tooling.

• Partner with Engineering, Science, and Product to ensure data instrumentation and event tracking align with analytics needs.

• Champion a data-first culture by influencing how the organization collects, models, and interprets information.

WHAT YOU’LL NEED:

• 5+ years of experience in Analytics Engineering, Data Analytics, or Data Science roles, ideally supporting Product and GTM teams.

• Deep expertise in SQL and strong proficiency with dbt for modular, scalable data transformations.

• Experience with Airflow (or similar orchestration tools) and version control systems like GitHub.

• Proficiency in data processing, automation, and validation.

• Hands-on experience building metrics reporting, dashboards, and analytical tools in platforms like Hex, Mode, Looker, or Tableau.

• Proven ability to translate messy, complex data into clear insights that drive real impact.

• A bias for action and pragmatism — delivering high-quality data solutions without overengineering.

• A “full-stack data” mindset, comfortable across collection, modeling, validation, and visualization layers.

• Experience helping build or scale an Analytics Engineering or Data Platform function at a startup or fast-growing organization.

• A strong sense of ownership, curiosity, and comfort with ambiguity in a fast-moving environment.

• A genuine passion for music, creativity, and AI — and excitement to help enable the next wave of generative creation.

• Bachelor's degree or equivalent required.

LOCATION

This is an onsite role in Boston, New York City, Los Angeles, or San Francisco.

Additional Notes: Applicants must be eligible to work in the US.

PERKS & BENEFITS FOR FULL-TIME EMPLOYEES:

• Generous Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Unlimited PTO & Sick Time

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• Continued / 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.