Head of Delivery Operations, Data-as--Service

Head of Delivery Operations, Data-as-a-Service

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  AI landscape has changed since 2015 when Snorkel started as a Stanford AI Lab project, and today’s generative breakthroughs. The data used to build AI differentiates performance and production readiness. We work with large 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? Apply to be the newest Snorkeler!

We are seeking a Head of Delivery Operations to lead and scale our Delivery Operations team within the Data-as-a-Service (DaaS) business. You will own the operating foundation that enables high-quality, predictable, and scalable delivery; driving process excellence, execution rigor, and continuous improvement across the organization.

This role reinforces and evolves the strategic partnership with all delivery-adjacent functions. It blends hands-on operational leadership, analytical problem-solving, and cross-functional collaboration, shaping how our DaaS business operates at scale.

You should be comfortable navigating ambiguity, building from first principles, and performing under high stakes. You should design scalable systems, maintain a high quality bar, and be willing to roll up your sleeves to deliver results. Reporting to the Head of Delivery, you will build, operate, and scale the Delivery Operations organization with impact on execution quality, efficiency, and growth.

• Lead and scale the Data Operations function, building a high-performance team with clear career paths, accountability, and a culture of operational excellence.
• Design and operationalize end-to-end operating models for expert contributor onboarding, performance management, and quality assurance; ensuring consistency, compliance, and scalability as the business grows.
• Establish SOPs, including pipeline health monitoring, project execution tracking, and KPI-driven reporting to enable predictable, on-time delivery.
• Own operational enablement and documentation, creating playbooks, and internal tooling that reduce execution friction and accelerate onboarding across delivery teams.
• Oversee planning and execution of complex data programs (labeling, annotation, curation), balancing cost, quality, and timelines across multiple customers and delivery motions.
• Partner cross-functionally with Delivery, Supply, Engineering, Product, and GTM leadership to align execution with commercial priorities and continuously improve the DaaS operating model at scale.

• 8+ years of experience in Delivery Operations, Data Operations, Program Management, or equivalent roles, ideally within high-growth B2B SaaS, DaaS, or services-led technology organizations with 3+ years managing people or teams.
• Demonstrated success building operational rigor in unstructured, fast-scaling environments, including designing SOPs, operating models, and execution frameworks from first principles.
• Proven people leadership experience, including building and managing high-performing teams, developing managers, and overseeing large contractor or distributed work forces.
• Strong vendor and partner management expertise, with a track record of scaling external suppliers while maintaining quality, cost efficiency, and delivery SLAs.
• Operational and analytical excellence, with hands-on experience defining KPIs, building pipeline and capacity visibility, and driving continuous process improvement through data.
• Exceptional cross-functional leadership and communication skills, with the ability to influence Delivery, Engineering, Product, Supply, and GTM stakeholders at senior levels.
• Comfort operating in ambiguity and zero-to-one contexts, with the ability to move quickly, make high-quality decisions, and iterate toward scalable systems.

The salary range for this San Francisco Bay Area–based position is $200,000–$250,000 base plus an…