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Head of Delivery Operations, DaaS

Job in Redwood City, San Mateo County, California, 94061, USA
Listing for: Snorkel AI
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Analyst
Job Description & How to Apply Below
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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 gone through incredible changes between 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? Apply to be the newest Snorkeler!

About

The Role

We are seeking a Head of Delivery Operations to lead and scale our Delivery Operations team within the Data-as-a-Service (DaaS) business. In this role, 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 is key to reinforcing and evolving the strategic partnership with all delivery-adjuacent functions.

It blends hands-on operational leadership, analytical problem-solving, and deep cross-functional collaboration, and offers a unique opportunity to shape how our DaaS business operates ’re looking for someone who is comfortable navigating ambiguity, energized by building from first principles, and capable of performing under high stakes. This person should be able to design scalable systems, maintain a high quality bar, and be willing to roll up their sleeves to deliver results.

Reporting to the Head of Delivery, you will have the ownership and agency to build, operate, and scale the Delivery Operations organization, with direct impact on execution quality, efficiency, and growth.

Main Responsibilities

• Lead and scale the Data Operations function, building a high-performance team with clear career paths, accountability, and a strong 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.

Minimum Qualifications

• 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…
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