Clay · 1 day ago
AI Analytics Engineer
Claylabs is dedicated to helping organizations turn growth ideas into reality through unique data and AI research. The AI Analytics Engineer will be responsible for scaling the Revenue + Cost + Margin Engine, ensuring data integrity, and designing systems that enhance information flow across the company.
Computer Software
Responsibilities
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
Qualification
Required
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: You're 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: You're 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 don't need a roadmap. You find the biggest, ugliest data problem and you solve it
Preferred
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 - we'll teach you)
Benefits
All employees can work for free with world-class coaches who specialize in creativity, management, and more.
Company
Clay
✨ The creative tool for growth | Go to market with unique data - and the ability to act on it
H1B Sponsorship
Clay has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2024 (5)
2023 (2)
2020 (1)
Funding
Current Stage
Growth StageCompany data provided by crunchbase