About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today.

But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built?

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About The Role

We're hiring a Senior Business Operations Manager to join our Business Operations team, reporting to the VP of Business Operations. This role is critical to scaling through our next phase of growth. At heart, it is a horizontal role: you will partner with leaders across the company to turn ambiguous strategic problems into structured decisions, durable operating systems, and measurable outcomes.

Your work will span strategic planning, cross-functional initiatives, analytics, and operating cadence — solving high-leverage problems and unlocking growth. We're looking for someone with broad skills who can go deep where it matters. You'll move fluidly between framing a business problem, pressure-testing the numbers behind it, working with stakeholders across the company to flesh out the plan, and building the strategy, operating cadence, or business intelligence needed to bring it to life.

This is a high-impact role for someone with sharp business judgment, an entrepreneurial bent, technical capability to build prototypes themselves, and the foresight needed to scale our business.

What You'Ll Do

) Translate strategic priorities into structured operating plans with clear owners, milestones, and measurable targets.

Qualifications

5+ years of experience in roles that require strong business judgment (including under uncertainty), cross-functional execution, and comfort with ambiguity; breadth and comfort across different kinds of environments is critical Solid analytical and quantitative skills; comfortable building operating, financial, or market models from scratch Entrepreneurial mindset and high ownership: creative thinking, always willing to roll up your sleeves, and try new things Hands-on technical capability across the data stack that makes a modern company run — data lakes, data pipelines, systems of record (CRM, ERP, and similar), and analytics/BI — and able to dig into technical questions and root causes when needed Passion for unlocking new capabilities with modern AI tooling is a must.