About Clay
Our mission is to help organizations turn any growth idea into reality.
We see growth as a creative practice, not a formula. Finding and reaching your best-fit customers takes unique ideas and constant iteration. As AI makes execution faster and tactics easier to copy, creativity is the only lasting advantage. We're already helping thousands of customers — including Anthropic, Waste Management, Figma, and Ramp — go to market with unique data, signals, and AI research.
In 2025, we crossed $100M in revenue and raised a $100M Series C at a $3.1B valuation, backed by world-class investors including Sequoia, CapitalG, and First Round. We also completed our first first employee tender offer and launched a community equity round, for our customers, agency partners, and club members.
Some Things To Know About Us
- Our community includes 11,000+ customers, 150+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack.
- Our culture is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more.
- All employees can work for free with world-class coaches who specialize in creativity, management, and more.
- Our operating principles — including negative maintenance and non-attached action — guide our work. Read more about them here.
- Read about us in the NYT, Forbes, First Round Review, and more.
Hear from our employees directly on our Glassdoor page!
Analytics Engineering @ Clay
We’re looking for an
Analytics Engineer
to bridge the gap between raw data infrastructure and high-impact business insights and data products. You’ll take ownership of our data models, pipelines, and platform architecture to ensure our analytics and data science foundation is scalable, durable, and consumable. Your work will enable better decision-making across teams—from product and engineering to marketing, finance, and ops.
Clay’s modern data stack includes
Fivetran
,
Segment
,
Snowflake, dbt, Dagster, Streamlit, Hex, Sigma, Eppo, Census,
Cube.dev
—and you'll play a key role in shaping how we use and evolve it to power strategic insight and operational excellence.
What you'll do
- Own data pipelines: Design, build, and maintain reliable ETL/ELT pipelines, ensuring timely and accurate delivery of high-quality data across the organization.
- Build a scalable foundation: Find ways to leverage and improve our current data models by architecting resilient, maintainable dbt models that serve as the trusted source of truth for analytics, experimentation, and data products.
What you'll bring
- 6+ years of hands-on experience in analytics engineering, data engineering, or data management
- Strong ownership mentality and proven ability to design for scalability, durability, and reusability Expert in SQL, Python, AWS infrastructure, and modern data tools (emphasis on dbt, Dagster/Airflow)
- A passion for pragmatic solutioning while staying current on modern data and AI tooling, pushing the boundaries of GenerativeAI’s role in Data Products and workflows
- Excitement for iterative, agile development processes and collaboration with diverse teams
