---
title: 'Head of Data Quality at Snorkel AI'
canonical: 'https://feeny.ai/job/head-of-data-quality-snorkel-ai-new-york-kqx1ccp021y9'
type: 'job'
last_seen: '2026-09-12'
---

# Head of Data Quality at Snorkel AI

- **Company:** Snorkel AI
- **Location:** New York, NY / San Francisco, CA
- **Work type:** hybrid
- **Posted:** 2026-06-05
- **Last confirmed live:** 2026-09-12
- **Apply:** https://job-boards.greenhouse.io/snorkelai/jobs/6015385004

## Job description

## 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? Apply to be the newest Snorkeler!

## About the Role

Snorkel AI is hiring a Head of Data Quality to build and own the quality system at the heart of our Data-as-a-Service business. This role is hybrid (3 days/week in office) in San Francisco, CA or New York, NY. Our DaaS business runs a digital data factory: expert human contributors working inside our product to produce customer-specific datasets at scale. The work most closely resembles a high-mix, engineered-to-order manufacturing line — with one defining twist: the spec is a living document. Production starts against an initial spec, calibrates against early samples, and continues to evolve as production ramps. Each pipeline's target is a moving target. You are the person who turns that environment into a system. You will design the end-to-end quality architecture — spanning individual datapoint quality, dataset-level quality, and contributor quality — and ensure that high-quality data production is repeatable, measurable, and improvable at scale. The role is cross-functional by default: you will work across GTM, Delivery, Product, and Engineering, and most of your impact will come through teams you don't directly manage.

This is a Principal IC role to start. You will build and own the system before you build the team. As the function matures, this role is expected to grow into a people-management track. If you've built quality systems from scratch in environments that deliver highly customized work against evolving specifications — whether in pharma, localization, semiconductor manufacturing, aerospace, or AI data — and want to apply that expertise to one of the most important challenges in AI, this is the role.

## What You'll Do

- Establish Snorkel's quality strategy, standards, and operating model across contributors, datasets, and individual data points.
- Build the processes, metrics, and governance mechanisms that enable quality to be measured, scaled, and continuously improved.
- Ensure quality is embedded throughout the DaaS lifecycle and reflected in the commitments we make to customers.
- Define the standards and operating mechanisms that drive high-quality outcomes across contributors, datasets, and engagements.
- Partner across Supply, Expert Contributor Experience, Product, and Engineering to operationalize and scale quality throughout the business.
- Leverage data, automation, and AI-assisted workflows to continuously improve quality, efficiency, and customer outcomes.
- Establish and scale the Quality function, starting as a hands-on builder and evolving the organization, operating model, and team as the business grows.
- Serve as a champion for Snorkel's quality approach with customers, prospects, and industry audiences, helping position quality as a key differentiator for the business.

## What You'll Bring

- 8+ years of experience in quality, operations, program management, or a related field, with a track record of building or significantly redesigning quality systems in complex, human-in-the-loop environments.
- Experience defining quality standards, measurement frameworks, and operating processes that drive consistent outcomes at scale.
- Strong analytical and problem-solving skills, including experience using data to measure performance, identify risks, and drive continuous improvement.
- Demonstrated ability to lead through influence and drive cross-functional initiatives across Product, Engineering, Operations, and business teams.
- Excellent communication and stakeholder management skills, with the ability to operate effectively from executive discussions through day-to-day execution.
- Comfortable operating in ambiguity, establishing structure where none exists, and building systems, processes, and teams from the ground up.
- Experience may come from AI data and evaluation organizations, or from other industries that operate complex quality systems at scale, including manufacturing, life sciences, localization, aerospace, or other highly customized production environments.

Bonus Points for:

- Experience building or scaling quality programs for AI data, model evaluation, or other human-in-the-loop AI workflows.
- Familiarity with AI-assisted quality methods, including LLM-as-judge, automated review systems, or other model-assisted approaches.
- Experience operating in environments with evolving requirements, complex task types, or rapidly changing definitions of quality.
- Background in consulting, engineering, operations, or other roles that demonstrate strong first-principles thinking and problem solving.
- Master's degree in a relevant field, or an MBA with an operations or quality focus

Pay Transparency Notice: Depending on your work location, the target annual salary base for this position can range as detailed below. Snorkel also includes benefits (including medical, dental, vision and 401(k)). The salary range for this position based off of tier 1 locations such as San Francisco Bay Area, and New York, and is $280,000-$350,000. All offers include equity compensation in the form of employee stock options. 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.

## About Snorkel AI

## Company Overview
- **One-liner**: The frontier AI data lab helping teams build the data and environments behind high-performing frontier models and agentic AI.
- **Entity Type**: Private (multiple funding rounds; latest venture round in 2024; total funding $250.2M)
- **Headquarters**: Redwood City, California, United States
- **Founded**: 2019
- **Founders**: Not explicitly listed in provided sources; company originated from the Stanford AI Lab

## Core Business
- **Primary industry**: AI data development, software development, AI/ML research
- **Target customers**: B2B; frontier AI labs, enterprises, government agencies
- **Mission**: “We’re building the data and environments behind the world’s most advanced AI systems.”

## Products & Services
- **Custom Data Development**: Bespoke datasets, evaluation frameworks, and benchmark expansions for specialized AI models and agents. Type: Service / Platform.
- **Specialized Agents**: Agents grounded in expert data, evaluated against task-specific rubrics and programmatic checks. Type: AI solution.
- **Snorkel Data Series**: Curriculum-structured datasets with rubrics, reviewer guidance, difficulty tiers, and eval slices. Type: Dataset product.
- **Evaluation Research**: Proprietary frameworks like RIFT (Rubric Failure Mode Taxonomy) and benchmarks such as OSWORLD 2.0 and Terminal-Bench 2.0. Type: Research / tooling.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Annual Revenue $38.6M (LinkedIn estimate) | Total Funding $250.2M (9 rounds)
- **Notable Investors/Partners**: Addition, Greylock, GV (Google Ventures), In-Q-Tel, Lightspeed Venture Partners, funds managed by BlackRock, QBE Ventures
- **Growth Signals**: Headcount grew 62.5% YoY to 801 employees; operates in 15 countries; trusted by leading AI labs and enterprises; 250+ publications at top conferences (NeurIPS, ICML, ICLR, etc.)

## Competitive Advantages
- **Proprietary data development process** based on programmatic data labeling and weak supervision, pioneered at Stanford AI Lab
- **Deep academic roots** with ongoing research collaborations and peer-reviewed publications
- **Focus on frontier AI data quality** (task specification, calibrated review, provenance) rather than volume
- **Embedded delivery model** combining platform, research, and domain expertise

## Strategic Focus
- Building the data and environments for frontier models and agentic AI
- Expanding into enterprise and government deployments
- Advancing research on RLVR (Reinforcement Learning with Verifiable Rewards) in low-data regimes
- Creating evaluation standards for agentic systems (e.g., Terminal-Bench, OSWORLD 2.0)

## Why Work Here
- **Culture**: “Quality first”, “Push the frontier”, “Competitive yet kind” – fast-moving, high bar, no ego
- **Locations**: Primarily San Francisco, Redwood City, and New York City, with remote/hybrid options globally
- **Benefits**: Comprehensive medical coverage, parental leave for birthing and non-birthing parents, flexible PTO, equity refresh grants, wellbeing allowance, company events
- **Engineering culture**: Work with PhDs, subject matter experts, and domain specialists on cutting-edge AI data challenges
- **Open roles**: 45 positions across Research, Engineering, Sales, Operations, Product, etc. (as of latest posting)

## Sources
1. [snorkel.ai/company/](https://snorkel.ai/company/)
2. [snorkel.ai/](https://snorkel.ai/)
3. [snorkel.ai/join-us/](https://snorkel.ai/join-us/)
4. [linkedin.com/company/snorkel-ai](https://www.linkedin.com/company/snorkel-ai)
5. [job-boards.greenhouse.io/snorkelai](https://job-boards.greenhouse.io/snorkelai/jobs/5990959004)

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