About Clay

Clay is a creative tool for growth. Our mission is to help businesses grow — without huge investments in tooling or manual labor. We’re already helping over 100,000 people grow their business with Clay. From local pizza shops to enterprises like Anthropic and Notion, our tool lets you instantly translate any idea that you have for growing your company into reality. We’re looking for sharp, low-ego people to help us turn every businesss creative ideas into a reality. Read this article to see why Clay is an amazing place to work and explore our wall of love to learn more about the product.

Why is Clay the best place to work in New York?

Customers love the product (100K+ users and growing)
We’re growing a lot (6x YoY last year, and 10x YoY the two years before that)
Incredible culture (our customers keep applying to work here)
In-person work (beautiful office space in Flatiron)
Well-resourced (raised a Series B expansion in January 2025 from investors like Sequoia and Meritech)

Data Science @ Clay

We’re looking for a data science Olympian to own full-funnel insights—from shaping our data infrastructure and asking the right questions to running experiments and delivering sharp analyses. Youll play a pivotal role in driving strategic decisions and building a data-driven culture. Our data stack is best in class (we use Snowflake, dbt, Dagster, Hex, Sigma, Eppo, and Census)

Impact Youll Have

Drive strategic insights: Own the full-funnel insight process, transforming data into actionable recommendations for go-to-market and product
Deliver clarity: Translate complex data findings into simple, actionable insights that resonate with both technical and non-technical stakeholders
Set up data infrastructure: Contribute to building and scaling our data transformation and orchestration capabilities, ensuring accurate and timely data delivery
Empower self-serve analytics: Develop a robust self-serve analytics platform that empowers all teams to access and leverage data effectively
Champion a data-driven culture: Establish best practices that encourage non-data teams to use insights effectively
Experiment: Design and set up experiments that test hypotheses and measure impact, driving continuous improvement in processes and products

What Youll Bring

4+ year experience
Expert in SQL and Python or R
Robust understanding of statistical and machine learning methods
Experience with data transformation tools (dbt) and data orchestration tools (Dagster or Airflow)
Live in New York (or willing to relocate)

Life @ Clay

Based out of a central office on 19th Street in Manhattans Flatiron District. We love the energy of in-person collaboration while also offering the flexibility to work from home when needed.

Competitive salary and role trajectory: Roles, responsibilities, and comp grow as we do
Health insurance: Fully funded, high quality health, dental & vision coverage (including 80-100% therapy coverage)
Visa sponsorship: We get it - its an arduous process, but were not scared of it
Paid time off: We expect team members to take at least 3 weeks fully-disconnected per year, with a flexible vacation policy beyond that
Free food: Free meals in office every day and unlimited snacks
Parental leave & fertility support: IVF fertility benefits, egg freezing, and 4 months of paid parental leave

Learn more about Clay and what it’s like to work with us right here!