---
title: 'Software Engineer — Test at Snorkel AI'
canonical: 'https://feeny.ai/job/software-engineer-test-snorkel-ai-new-york-8cp2kj74h9y9'
type: 'job'
last_seen: '2026-09-05'
---

# Software Engineer — Test at Snorkel AI

- **Company:** Snorkel AI
- **Location:** New York, NY / San Francisco, CA
- **Compensation:** $200k–$230k
- **Work type:** hybrid
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-05
- **Apply:** https://job-boards.greenhouse.io/snorkelai/jobs/6149003004

## 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

We’re looking for a Software Engineer in Test who thrives in fast-moving, high-intensity environments and enjoys turning ambiguous problems into reliable, scalable systems. In this role, you’ll go beyond traditional QA—fine tuning test infrastructure, tooling, and processes that directly accelerate engineering velocity and product quality.

## What You'll Do

- Refine and evolve testing infrastructure and tooling that enables engineers to ship high-quality features at scale
- Design, implement, and maintain automated testing systems
- Create internal tools that improve developer productivity and shorten iteration cycles
- Partner closely with DevOps to optimize test execution and reliability within CI/CD pipelines
- Drive best practices in testing, observability, and release confidence across the engineering org

## What You'll Bring

- 3-5 years experience scaling test frameworks, infrastructure and developer tooling
- Proficiency in TypeScript and/or Python
- Experience with CI/CD systems such as CircleCI, Buildkite, or similar tools
- Ability to operate in ambiguous environments and bring structure to complex problems
- A systems mindset—you think in terms of reliability, scalability, and long-term maintainability

Snorkel 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 embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role $200,000—$230,000 USD

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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