Snorkel AI
Head of Delivery Operations, DaaS
Snorkel AI, San Francisco, California, United States, 94199
Head of Delivery Operations, DaaS
Apply for the
Head of Delivery Operations, DaaS
role at
Snorkel AI .
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 evolved from a research project at Stanford AI Lab in 2015 to today’s generative AI breakthroughs. One constant remains: the data you use to build AI is the key to 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. If you’re excited to help us redefine how AI is built, apply to become the newest Snorkel‑er!
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‑adjacent 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 at scale.
We’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 design scalable systems, maintain a high quality bar, and roll up their sleeves to deliver results. Reporting to the Head of Delivery, you will 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 workforces.
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 on‑target earnings (OTE), with an 80/20 split between base salary and variable compensation.
Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market‑proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
#J-18808-Ljbffr
Head of Delivery Operations, DaaS
role at
Snorkel AI .
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 evolved from a research project at Stanford AI Lab in 2015 to today’s generative AI breakthroughs. One constant remains: the data you use to build AI is the key to 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. If you’re excited to help us redefine how AI is built, apply to become the newest Snorkel‑er!
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‑adjacent 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 at scale.
We’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 design scalable systems, maintain a high quality bar, and roll up their sleeves to deliver results. Reporting to the Head of Delivery, you will 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 workforces.
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 on‑target earnings (OTE), with an 80/20 split between base salary and variable compensation.
Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market‑proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
#J-18808-Ljbffr