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!
The Fellow Program is a critical new initiative at Snorkel AI, designed to build and scale the expert workforce powering our ability to deliver exceptional outcomes for customers. We are building the people foundation for a program that will grow through rolling cohorts, new geographies, and a potential workforce expected to scale into the thousands.
We are looking for a strategic, entrepreneurial Staff HRBP to help shape what this program becomes. This is not a traditional support role. You will own the people strategy and operating model for one of Snorkel’s most important growth initiatives, partnering directly with senior leaders to design how Fellows are hired, onboarded, developed, deployed, recognized, and supported throughout their employment lifecycle.
This is a rare 0-to-1 opportunity for a thoughtful builder who enjoys turning ambiguity into momentum. You will create the programs, practices, and manager capabilities that enable a new workforce model to scale with quality, speed, and a standout employee experience. The work you do will have a visible impact on our Fellows, our customers, and Snorkel’s ability to scale. This role is hybrid (3 days/week in office) in San Francisco, CA.
This role reports to the Senior Director, People Programs & Partnerships, and will focus on:
The salary range for this position based off of tier 1 locations such as San Francisco Bay Area, and New York is $190,000-$240,000. All offers include equity compensation. This role is hybrid (3 days/week in office) in San Francisco, CA.
Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.
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.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Snorkel AI provides a data-centric AI platform that enables enterprises to build AI applications using programmatic data labeling. They focus on reducing the need for large labeled training datasets.