
✨ 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)
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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.”
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:
Hear from our employees directly on our Glassdoor page!
Analytics Engineering @ Clay We're looking for an AI Analytics Engineer to scale Clay's most critical data system: the Revenue + Cost + Margin Engine - the single source of truth that powers every team (finance, sales, product, exec). You'll join a small, high-leverage data team and work with novel data: accurate workspace-level AI margins that enable decisions no other company can make.
This role is ideal for someone who thinks in systems, not dashboards. You're fluent in the modern data stack (dbt, Snowflake, Streamlit) and already using AI tools (Cursor, MCPs, LLMs) to move 5x faster than traditional methods. The foundation is set; your job is to scale it into a lean, streamlined workhorse.
What you'll do
What we're looking for
Nice to have
Compensation Range: $155K - $210K
Build and understand the warehouse of data
Scale the Revenue + Cost + Margin Engine (every closed-won deal, every dollar of revenue, every dollar of cost, and the margins that result)
Architect the data models that power the entire company - finance, sales, product, exec all depend on this
Work with novel data: accurate workspace/account-level margins for AI consumption
Ensure the foundation is audit-ready and immutable (financial precision, not "pretty good")
Understand how the org consumes information
Learn how different parts of the business view things, use data, and could use AI to 10x their workflows
Design systems that align with how teams actually work, not how we wish they worked
Build quick views using AI and Streamlit - only create dashboards for what matters
Design and implement systems to scale information flow
Build AI-native infrastructure (MCPs, Cursor workflows) that makes the warehouse instantly accessible
Enable anyone to query the database, read Notion docs, and post to Slack through ChatGPT or Cursor
Design the data flows and information architecture that keep the company aligned as it scales 10-100x