---
title: 'Software Engineer — Product at Snorkel AI'
canonical: 'https://feeny.ai/job/software-engineer-product-snorkel-ai-new-york-vhmt5tmr6520'
type: 'job'
last_seen: '2026-10-17'
---

# Software Engineer — Product at Snorkel AI

- **Company:** Snorkel AI
- **Location:** New York, NY / San Francisco, CA
- **Compensation:** $220k–$300k
- **Work type:** hybrid
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-10-17
- **Apply:** https://job-boards.greenhouse.io/snorkelai/jobs/6148803004

## Job description

## About Snorkel

Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes.

Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

## About the Role

We're looking for talented and versatile Product Engineers to join our team. In this role, you'll build end-to-end products — from front-end interfaces through the APIs and services that power them — that make sophisticated workflows simple for our users. You'll work closely with product, design, and engineering teams to translate complex requirements into elegant, high-quality experiences, moving fluidly across the stack to get the job done.

We are looking for talented Engineers who bring strong technical depth in React and TypeScript (and are comfortable working further down the stack when needed), a sharp product sense, and a passion for building software that makes sophisticated workflows feel intuitive.

## What You'll Do

- Build, ship, and maintain high-quality product features with full ownership from design through production, working across the front end and, as needed, the services that support it
- Enable operations teams to move fast by building the right abstractions and tools that provide safe use of agent workflows
- Collaborate with designers, product managers, and engineers to define and implement solutions that push the product forward
- Contribute to architecture decisions across the stack — advocating for scalability, maintainability, and clean code principles
- Drive best practices for accessibility, responsiveness, and cross-browser compatibility within your team
- Design and build APIs and services where a feature calls for it, ensuring a clean contract between front end and back end
- Participate in and contribute to code reviews, raising the quality bar across the codebase
- Proactively identify technical challenges and propose solutions to improve the product engineering ecosystem
- Troubleshoot and resolve performance and production issues across the stack
- Work a hybrid schedule with at least three days per week in San Francisco, CA office or in our New York City office.

## What We're Looking For

We are hiring for Product Engineers at several levels, but the core experience is below:

- 4+ years of professional experience in software engineering, with strong depth in React and TypeScript and solid full-stack or front-end fundamentals
- Solid understanding of HTML5, CSS3, and modern CSS frameworks (e.g., Tailwind)
- Experience with state management libraries (e.g., Redux, React Context API)
- Comfort designing and consuming RESTful APIs, and enough back-end fluency (Node.js, Python, or similar) to build or extend a service when a feature requires it
- Experience with responsive design, adaptive design, and accessibility standards (WCAG)
- Proven track record delivering high-quality, scalable, and maintainable code in a product environment
- Strong communication skills — able to articulate technical decisions clearly to cross-functional partners
- Ability to prototype and iterate quickly on sophisticated user workflows
- Comfortable working independently and making scoped technical decisions
- Experience collaborating in an agile, cross-functional team environment

## Nice to Have

- Experience with design systems and building reusable component libraries
- Familiarity with server-side rendering frameworks (e.g., Next.js)
- Experience with performance optimization for web applications
- Prior work in developer tools or data-heavy product environments
- Experience owning a feature across the full stack, from database or service layer through UI

## Why This Role

You'll have meaningful ownership over a product used by technical and enterprise teams solving real, high-stakes problems. This isn't a feature-factory role — you'll be working on interfaces and the systems behind them to make genuinely complex workflows feel simple, with a team that cares deeply about craft.

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. Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role $220,000—$300,000 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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