From the PyTorch Lightning creators. Own your AI, don. Backed by Index.
About the role
We're moving fast, and our data infrastructure needs to keep up. GPU telemetry, product usage, and operational signals are accumulating faster than our pipelines can surface them. We're at the stage where the right data foundation unlocks everything: better product decisions, faster model iteration, and cleaner ops. As our first Data Engineer , you will help us get there.
What they're looking for
- 10+ years of total experience in analytics engineering, data engineering, or similar data-focused roles
- Deep expertise in data modeling, ETL pipelines, and data warehouse architecture
- Strong technical foundation with expertise in SQL, Python, and modern data stack tools (dbt, SQLMesh, etc)
- Experience partnering with Data Science, Product, and Engineering leaders to deliver key product metrics and user behavior insights
- Demonstrated ability to balance strategic thinking with hands-on technical leadership
- Strong communication skills with the ability to translate complex technical concepts for diverse audiences
More about this role
Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction.
Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.
We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:
- Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.
- Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company...
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