From the PyTorch Lightning creators. Own your AI, don. Backed by Index.
About the role
We are looking for a Data Scientist to drive informed decision-making across the company as we become the first fully-integrated neocloud for AI training. This individual will work closely with Product, Engineering, and Sales leadership, answering key questions about product usage, proactively surfacing trends, and supporting our growth in a data-driven way. You will join the Product Team and report to our VP of Product.
What they're looking for
- 5+ years in a Data Science or Product Analyst role
- Proficient using SQL to query large databases
- Strong skills using Python to write scripts and run statistical analysis
- Hands-on experience with BI tools (Looker or similar) and cloud data infrastructure — AWS (e.g. S3, EFS) and/or GCP (e.g. BigQuery, Looker Studio)
- A strong bias for action, and the ability to make clear decisions and recommendations in the presence of uncertainty
- Experience on a growing data team at a startup, preferred
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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