Data engineer responsible for data pipelines and customer-facing analytics at AI-driven content platform. Collaborate with product and engineering to enhance data features in a fast-growing startup.
Responsibilities
Own the data pipelines that power customer-facing analytics. You define what done means, you ship it, and you stand behind it
Design and maintain the serving layer that delivers citation rates, share of voice, and mention trends to customers across ChatGPT, Perplexity, Gemini, and beyond, with strong guarantees on accuracy, freshness, and latency
Work directly with product and engineering to ship data-powered features
Build enrichment pipelines that shape raw data into the derived entities our product depends on
Set the data engineering foundation as the first dedicated hire in this function, working closely with our VP of Engineering.
Requirements
5+ years of hands-on engineering experience with clear evidence of owning a data-powered product surface
Strong in Python and SQL, with hands-on experience in ClickHouse, Redshift, or similar OLAP systems at product scale
You own things without being asked and drive them to closure
You have the range to hold your own in a technical architecture discussion and ship the thing the same week
Benefits
Equity in a fast-growing startup
Competitive benefits package tailored to your location
Flexible time off policy
Parental Leave
A fun-loving and (just a bit) nerdy team that loves to move fast!
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