AI Analytics Engineer
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Job Location:
New York City, NY - USA
Monthly Salary:
$ 155 - 210
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
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. Were 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 11000 customers 150 integration partners 125 agencies 50 Clay clubs and 30k members on Slack.
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
Were looking for an AI Analytics Engineer to scale Clays most critical data system: the Revenue Cost Margin Engine - the single source of truth that powers every team (finance sales product exec). Youll 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. Youre 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 youll do
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
What were looking for
Mastery of the modern data stack: Fluent in dbt Snowflake Streamlit and the surrounding ecosystem. You know how to design data models that scale.
AI-native workflows: Youre already using AI tools (Cursor MCPs LLMs) to write code document models and solve technical hurdles.
Systems thinking: You think in terms of data flows sources of truth and business logic - not just dashboards or reports.
Understanding of how businesses consume data: Youre curious about how different teams view things use data and could use AI to 10x their workflows.
Financial precision: You understand that while AI helps you move fast you are the final auditor. You take pride in the integrity of the numbers.
High agency: You dont need a roadmap. You find the biggest ugliest data problem and you solve it.
Nice to have
Experience with consumption-based revenue models or complex pricing logic
Familiarity with MCPs (Model Context Protocol) or similar AI tooling
Prior experience in a high-growth SaaS environment
Understanding of financial reporting requirements (though not required - well teach you)
Required Experience:
IC
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
Implement your creative growth ideas to build pipeline for your sales team. First, maximize your data coverage with 75+ enrichment tools and our AI agent. Then, use AI to craft the perfect outreach.
