Who We Are

Lightning AI is the company reimagining the way AI is built. After creating and releasing PyTorch Lightning in 2019, Lightning AI was launched to reshape the development of artificial intelligence products for commercial and academic use.

We are on a mission to simplify AI development, making it accessible to everyone—from solo researchers to large enterprises. By removing the complexity of building and deploying AI tools, we empower innovators to focus on solving real-world problems. Our platform is built to scale with the latest AI advancements while staying intuitive and adaptable, so you can bring your ideas to life.

We have offices in New York City, San Francisco, and London and are backed by investors such as Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.

Our Values

• Move Fast: We act with speed and precision, breaking down big challenges into achievable steps.

• Focus: We complete one goal at a time with care, collaborating as a team to deliver features with precision.

• Balance: Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best.

• Craftsmanship: Innovation through excellence. Every detail matters, and we take pride in mastering our craft.

• Minimal: Simplicity drives our innovation. We eliminate complexity through discipline and focus on what truly matters.

What We're Looking For

We are looking for a Data Scientist to unlock actionable insights from our product and sales data, driving informed decision-making across the company. This individual will work closely with Product 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 Chief Executive Officer. This is a hybrid role based in either New York City, NY or San Francisco Bay Area with in-office requirements of 2 days per week. The salary range for this role is $160,000-$200,000.

What You’ll Do

• Collaborate with Product, Sales, and other teams to identify the features and behaviors that move the needle, and help us make those behaviors unfair advantages for our business
• Analyze product usage data to generate actionable insights that inform product development and sales strategies.
• Analyze enterprise product usage patterns to extract actionable insights that inform prospecting and ICP development.
• Answer strategic questions, such as “How many of our customers are using X product and what do they look like to find more of them?”
• Build and optimize data pipelines to efficiently ingest, transform, and store large datasets for analysis.
• Create dashboards, reports, and visualizations in tools like Looker to communicate findings effectively to stakeholders.
• Write SQL queries to extract and analyze data from our databases, occasionally writing scripts or code to automate workflows.
• Proactively surface insights and trends, alerting stakeholders to opportunities for growth or areas for improvement.
• Contribute to the development of a data-driven culture by sharing best practices and enabling teams to leverage analytics tools.
  
  

What You’ll Need

• 5-8+ years in a data science role 
• Experience as a first data team hire, preferred 
• Proactive and resourceful, comfortable as the first data hire, with the ability to independently design and build foundational data pipelines from the ground up.
• Ownership attitude with experience either directly making decisions or partnering with engineering teams to make good decisions based on the scale of the business
• Strong SQL skills with experience querying large databases. Familiarity with Looker or similar BI tools is required. Basic coding skills for scripting and automation are a plus.
• Ability to interpret complex datasets, identify patterns, and distill findings into actionable insights.
• Strong ability to convey data-driven insights to both technical and non-technical audiences.
• Proven track record of working cross-functionally with Product, Sales, or Operations teams.
• Comfortable identifying opportunities for analysis without being prompted and driving initiatives forward independently.
• Experience with cloud-based data infrastructure, such as AWS (EFS, S3), GCP (BigQuery, Looker Studio)
• Deep experience with Statistics and SQL

Benefits and Perks

We offer competitive base salaries and stock options with a 25% one year cliff and monthly vesting