Head of Delivery Operations, Snorkel AI
Data-as-a-Service
$200-250k
80/20 split between base salary and variable compensation
1+ day a week in office
The AI data research lab
Job no longer available
The AI data research lab
501-1000 employees
Job no longer available
$200-250k
80/20 split between base salary and variable compensation
1+ day a week in office
501-1000 employees
Company mission
To empower everyone to solve their most impactful problems through data-centric AI.
Role
Who you are
- 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 be able to design scalable systems, maintain a high quality bar, and be willing to roll up their sleeves to deliver results
- 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
What the job involves
- 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
- 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
- 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
Our take
Demand for AI is increasing in almost every industry, but the machine learning that fuels it is tedious to set up. In order to train machine learning algorithms, training data must be labelled manually, and this contributes to expenses in time, money and resources when integrating AI within a business.
Snorkel AI develops programmatic approaches to data labelling in order to automate the setup process of machine learning and decrease the required timeframe for a business to begin providing AI services. In addition to these automated data categorization services, the company also integrates data training, management, and analysis into a unified AI-deployment platform.
The complex computer science behind AI setup has resulted in many businesses without computer science backgrounds being left behind, and Snorkel AI has set this as their target audience. And recently, the company raised some serious funding which it plans to use to expand the company;'s engineering, research, and go-to-market efforts.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
May 2025
$100m
SERIES D
Aug 2021
$85m
SERIES C
Total funding: $235m
Company benefits
- Health: Snorkelers and their dependents are covered by comprehensive medical, dental, and vision plans.
- Wellness: All Snorkelers get a yearly wellness stipend to use on anything related to health and well-being.
- PTO and rest days: We provide unlimited personal time off so you can find your work-life balance. Plus, two company-wide rest days per quarter in addition to company holidays.
- One global team: From our headquarters in Redwood City, CA, to regional offices in San Francisco and New York, we work together as one global team.
- Events: Get to know your fellow Snorkelers outside of work! We host regular events and learning opportunities for our teams across our offices and virtually to connect, have fun, and grow.
- Family leave: Snorkel offers generous parental leave for both birthing and non-birthing parents based on eligibility.
Company HQ
Centennial, Redwood City, CA
Leadership
Alex Ratner
(Co-Founder & CEO)Studied at Harvard and received a PhD from Stanford. They are also an Assistant Professor at the University of Washington.
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