
✨ 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!
The Role Clay’s engineering team and codebase are growing quickly, and require continued investment in tooling and infrastructure to operate effectively.
In particular, as coding agents continue to advance, the hardest challenges in engineering aren't writing the code itself—they're everything around it: context, environment, validation, testing, and safely integrating changes into real production systems. At Clay, we believe the next evolution of software engineering will come from building systems where coding agents can operate with deep awareness of the codebase, infrastructure, and development lifecycle .
That requires a major investment in developer experience and engineering infrastructure.
We’re expanding our infrastructure team to build the systems that make this possible — environments where agents can understand the full context of a codebase, execute development tasks end-to-end, and safely integrate their work into production.
While coding agents will be an important area to focus on, this role spans developer tooling, infrastructure, and agent execution systems , and the systems you build will shape how software gets built at Clay.
What You’ll Work On You’ll help design and build the developer experience that powers the next generation of software engineering at Clay.
This includes systems that make both engineers and coding agents dramatically more effective across the full development lifecycle.
Areas you might work on include:
Our goal is to build the infrastructure harness that allows Clay to take advantage of every new AI capability as it emerges. What Success Looks Like Success in this role means:
What We’re Looking For We’re looking for strong engineers who enjoy building systems that improve how software gets built.
You might be a good fit if you:
You don’t need prior experience building AI systems — curiosity and experimentation matter more. Why This Role Is Unique Software engineering is changing quickly.
AI models can generate code, but making that code useful in real production environments requires deep integration with developer workflows, infrastructure, and codebase context .
At Clay, we’re investing heavily in building the systems that make that possible.
You’ll be working on infrastructure that sits at the center of how software gets built, and helping define how engineering evolves in the age of AI.
Compensation Range: $180K - $300K
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