Chalk is the AI data platform that delivers real-time context and compute infrastructure for agents and ML models — deployed in your cloud, built for speed. Backed by General Catalyst and Felicis.
About the role
We're hiring an Analytics Engineer to own the data layer that powers decision-making across Chalk. When a customer signs up, a lot happens behind the scenes: they get set up in our systems, we start recording their usage, and the right rates and terms get attached. That data flows all the way through to the metrics that leadership, Finance, and GTM use to run the business. You'll own the pipelines, data models, and analytics that make every step of that path trustworthy.
What they're looking for
- 4+ years of experience in analytics engineering, data engineering, or a similar hybrid data role
- Experience building data models for billing, usage metering, or financial reporting - you understand why correctness, idempotency, and auditability matter when the output is an invoice
- Strong Python skills - you're comfortable writing and maintaining production pipeline code, not just notebooks
- Expert-level SQL and deep, hands-on experience with a cloud data warehouse (we use BigQuery)
- Fluency with modern analytics tooling - dbt or similar transformation frameworks, and BI/notebook tools
- Strong data intuition: you catch the anomaly in the chart before anyone else does, and you don't ship a number you can't explain
More about this role
About Chalk
Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We've recently raised a $50 million Series A , led by Felicis.
We're hiring an Analytics Engineer to own the data layer that powers decision-making across Chalk. When a customer signs up, a lot happens behind the scenes: they get set up in our systems, we start recording their usage, and the right rates and terms get attached. That data flows all the way through to the metrics that leadership, Finance, and GTM use to run the business. You'll own the pipelines, data models, and analytics that make every step of that path trustworthy.
This is a hands-on role at the intersection of data engineering and analytics. You'll rebuild pipelines that have grown up organically as we've scaled, design the data models that keep customer, usage,...
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