Who We Are

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 Way We Work

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 forward and follow through.
Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.
Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.
Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.
Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.

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.

This is a hybrid role based in either New York City, NY with in-office requirements of 2 days per week.

What You’ll Do

Partner with Product, Sales, and Engineering to define questions that matter and identify product features and behaviors that drive business outcomes
Analyze small business and enterprise usage patterns to sharpen Ideal Customer Profiles and guide Sales prospecting priorities
Quantify the health of our data center business and test the impact of systematic sales, service, and operations improvements
Work with engineering to design, build, and maintain data pipelines that support timely and accurate analyses
Write SQL (and occasional scripts) to explore data, automate recurring workflows, and answer ad-hoc questions
Design Looker and Data Studio dashboards and reports that make findings easy for stakeholders to act on
Monitor trends and surface opportunities or risks early, before they show up in routine reporting
Help grow a data-driven culture by sharing practices and enabling teams to use analytics tools on their own

What You’ll Need

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
Experience designing and building foundational data models from scratch, preferred

We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.

The anticipated annual base salary range for this role is:

$160,000—$245,000 USD

Benefits and Perks

We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success:

Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.
Meaningful Equity: RSUs that give employees a stake in the company's long-term success.
Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).
Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.
Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.
Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments.
Professional Development: Annual learning and development allowance to support your professional growth.
Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.
Sabbatical Program: Four weeks of paid sabbatical leave after four years of service.
Flexible Work: Flexible schedules and a hybrid work model for our office-based teams.
In-Office Meals: Complimentary meals at our office hubs.

Benefits may vary by location, team, and role.

At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Data Scientist

Job Description