Lead Data Engineer

Build the data backbone of a category‑defining AI platform.

We’re partnered with an early‑stage, venture‑backed AI startup transforming a large, traditional industry through automation. Their AI assistant is already live with real customers, managing tens of thousands of units, and they’re now scaling fast toward revenue.

This is a rare opportunity to join early as the Lead Data Engineer and own the data architecture that powers real‑time AI systems at scale.

What you’ll do

• Design and build scalable batch and real‑time data pipelines
• Architect data systems for analytics, ML workflows, and vector search
• Own data reliability, performance, and governance end‑to‑end
• Work closely with AI, backend, and product teams
• Set standards and help build the future data engineering function

What we’re looking for

• 7+ years in data or backend engineering
• Strong Python and experience with distributed data systems
• Hands‑on experience with modern AI data stacks (e.g. vector databases)
• Startup mindset: ownership, speed, and architectural thinking
• Define the data foundations of a high‑growth AI company
• Huge ownership and influence from day one
• Competitive salary + meaningful equity
• Work directly with founders on a genuinely hard, high‑impact problem

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