
✨ The creative tool for growth | Go to market with unique data - and the ability to act on it

✨ The creative tool for growth | Go to market with unique data - and the ability to act on it
Founded: 2017 (New York City)
Product: Go-to-market data and workflow platform (enrichment, intent, AI agents)
Recent valuation: $3.0–3.1B (Series C, 2025)
Total disclosed funding: $204M (after Series C)
Sales/marketing growth tooling; data enrichment and outreach automation for GTM teams.
2017
Software Development
$100M
Post-money valuation reported at roughly $3.0–3.1 billion; brought total disclosed funding to about $204M.
$1.5B (valuation via tender)
Sequoia-led employee tender valued Clay at $1.5 billion.
“Backed by institutional investors including CapitalG, Sequoia Capital, Meritech Capital, First Round Capital, BoxGroup, Boldstart Ventures, and Sapphire Ventures.”
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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, Notion, Google, and Ramp — go to market with unique data, signals, and AI research.
In 2025, we raised a $100M Series C backed by world-class investors including Sequoia, CapitalG, and First Round — and crossed $100M in revenue.
In 2026, we announced our second employee tender offer in 9 months at a new $5B valuation. We also launched a community equity round, for our customers, agency partners, and club members.
Some Things To Know About Us
Hear from our employees directly on our Glassdoor page!
Software Engineering, Backend @ Clay Given our rapid growth over the past couple of years, we often have to solve pressing scaling problems to accommodate the increased load. As a Software Engineer on the Performance team, you'll be responsible for identifying these problems and then developing systems that optimize the throughput and reliability of our core systems. Strong candidates here will have a track record of solving large-scale systems problems and laying the foundation for performance observability.
What You'll Do
What You'll Bring
Nice To Haves
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Diversity of perspectives and interests. We hope to build a team that is curious, and open-minded.
Experience working with systems & data at scale. May be building large-scale high-performance data pipelines, event ingestion systems, or generally working with larger production systems
Advanced proficiency in optimizing serverless workloads on AWS
Experience with our current tech stack:
React, Typescript, Python
AWS services: Aurora (Postgres), Elasticache (Redis), Elastic Container Registry (ECR), ECS (Fargate), Lambda, OpenSearch
IaC: Terraform
Deployment tools: CircleCI, Netlify, Playwright
Observability tools: Cloudwatch, Datadog, Mezmo