Data Engineer

🇺🇸 Boston, Mass
Posted 8 months ago
Expires May 29, 2026
Full TimeOn-siteEngineering

ABOUT SUNO

We're building the world's first platform for creating and discovering original music, including Suno Studio, a generative audio workstation, and Hooks, a new way to create and share videos that bring songs to life.

Powered by the leading music-creation model and designed to amplify imagination, our platform makes it possible for anyone to turn inspiration into music. With Suno, ideas flow into sound, songs become yours, and everyone can experience the joy of creating.

Suno is one of the fastest-growing AI startups in the world, backed by leading investors including Menlo Ventures, Lightspeed Venture Partners, Matrix, NVentures, and Hallwood Media.

ABOUT THE ROLE

We’re seeking talented data engineers to join our founding team, working closely with key stakeholders and taking ownership of building and shaping Suno’s core data foundation.

Check out our Suno version of the job here!

WHAT YOU’LL DO

- Serve as a critical contributor to the Suno products team, providing insights and solutions that influence high-level decisions and shape the product roadmap.

- Design, develop, and maintain complex data products, systems, platforms, and pipelines to build scalable, secure, and high-quality big data solutions that seamlessly integrate diverse data sources, process high-volume real-time and batch data, and ensure data integrity, quality, and compliance.

- Collaborate with scientists, ML engineers, software developers, business leaders, and product teams to define data requirements, architect solutions, and implement data-driven opportunities that enhance customer experiences.

- Leverage advanced analytics and data engineering practices to uncover actionable customer insights that drive the development of innovative and enhanced customer experiences for Suno.

- Implement and monitor data systems to ensure high availability, reliability, and scalability while advocating for and applying best practices in big...

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