> Markdown version of [/jobs/ext/1920328-lead-ml-data-operations](https://www.wearedevelopers.com/jobs/ext/1920328-lead-ml-data-operations). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead, ML Data Operations - **Company:** Suno Inc. - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $300,000.0 - $360,000.0 - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, DataOps - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=864c42365153f77c ## About the Role * 6-8+ years of experience in ML data operations, training data, or data labeling programs with direct experience managing external labeling vendors, building internal labeling systems, or both * Demonstrated leadership at a director or equivalent level, with a track record of building teams or functions that didn't previously exist * Comfort and excitement with operating with a high degree of autonomy where the path isn't fully defined * Strong cross-functional instincts across Research, Product, and Engineering, * Background at a foundational model company or data labeling organization * Experience influencing how product features are designed with training data collection in mind * Familiarity with music, audio, or creative AI ## Description We're looking for a Lead of ML Data Operations to build and lead a new function at Suno. This team owns how we source and develop the data that powers our models. You'll work closely with Research and Product to understand what's needed and figuring out how to deliver it, whether through external partners, in-product collection, or both. You'll also build this function from the ground up so expect real ownership and real ambiguity in equal measure!, * Source, evaluate, and manage relationships with external data labeling vendors, from initial scoping through contracts, quality oversight, and ongoing performance * Partner with ML researchers to understand data requirements and develop concrete plans to meet them * Identify opportunities to improve how Suno collects data with product and engineering * Build and lead the team, systems, and processes that make data sourcing a reliable, repeatable capability * Contribute to a data-driven model development culture as part of a close-knit team of researchers, engineers, and product builders * Support our mission of making creative fulfillment a daily reality for everyone ## Related Videos - [Edit Your Future: Queerverse Radical AI](https://www.wearedevelopers.com/videos/909-edit-your-future-queerverse-radical-ai) - [Fireside Chat: Deep Learning, Deep Impact: Harnessing AI for Language Innovation](https://www.wearedevelopers.com/videos/612-fireside-chat-deep-learning-deep-impact-harnessing-ai-for-language-innovation) - [MLOps - What’s the deal behind it?](https://www.wearedevelopers.com/videos/392-mlops-what-s-the-deal-behind-it) - [Exploring 5 Key Applications of AI Abundance with Blockchain Assurance](https://www.wearedevelopers.com/videos/971-exploring-5-key-applications-of-ai-abundance-with-blockchain-assurance) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [AI is dead, long live AK](https://www.wearedevelopers.com/videos/1093-ai-is-dead-long-live-ak) ## Related Articles - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)