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 WorkThe 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.
Team: Solutions Engineering
Location: [NYC] - Hybrid
Reports to: Head of Solution Engineering
About Lightning AILightning AI is building the platform and infrastructure that make it dramatically easier for teams to develop, train, deploy, and scale AI systems. As the company behind PyTorch Lightning, and following our merger with Voltage Park, we bring together developer-first AI tooling with high-performance compute infrastructure for researchers, startups, and enterprises building at the frontier of AI.
We operate with a simple set of values: Move Fast, Focus, Balance, Craftsmanship, and Minimal. We care about people who can operate with urgency, solve hard problems directly, and build with high standards without creating unnecessary complexity.
What You'll DoAs a customer-facing Machine Learning Solutions Engineer, you will serve as a key technical partner to our go-to-market organization, translating complex customer requirements into scalable AI and machine learning solutions on the Lightning AI platform. You will lead technical discovery, product demonstrations, proof-of-concepts, and post-sales engagements, helping customers successfully evaluate, deploy, and expand their use of the platform. Working at the intersection of customers, sales, product, and engineering, you will bring deep technical expertise to the sales process while translating real-world customer needs into actionable product insights. This highly cross-functional role is critical to accelerating customer adoption, influencing product direction, and demonstrating the business and technical value of Lightning AI.
Qualifications- 5-7 years in solutions engineering, sales engineering, field engineering, technical pre-sales, ML infrastructure, or related technical leadership roles.
- Deep understanding of complex technical selling, enterprise evaluation cycles, POCs, executive alignment, and cross-functional deal execution.
- Credibility with technical buyers and the ability to simplify AI, infrastructure, platform, and architecture concepts for senior business stakeholders.
- Experience partnering closely with Sales, Product, Engineering, Customer Success, Partnerships, Marketing, and Revenue Operations.
- Strong talent judgment and a track record of hiring, coaching, and developing technical field leaders.
- A high-accountability operating style with strong forecasting discipline, field inspection, and customer follow-through.
- Comfort leading in a fast-moving startup where the market, product, and GTM motion are evolving quickly.
- Experience in AI infrastructure, cloud infrastructure, developer platforms, MLOps, data platforms, GPUs, or high-performance compute.
- Experience building a solutions engineering organization through rapid growth or category creation.
- Hands-on technical background in software engineering, ML engineering, platform engineering, infrastructure, or data systems.
- Experience supporting both direct enterprise sales and partner/channel technical motions.
- You will help define how companies build and scale real AI systems, not just sell another generic software product.
- You will work with technical customers and teammates who care about speed, clarity, craft, and direct problem-solving.
- You will join a company with developer credibility, infrastructure ambition, and a GTM motion that is still early enough to shape.
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.
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.
Skills Required
- 5–7 years of experience in solutions engineering, sales engineering, field engineering, technical pre-sales, ML infrastructure, or related technical leadership roles.
- Deep understanding of complex technical selling, enterprise evaluation cycles, proof-of-concepts, executive alignment, and cross-functional deal execution.
- Credibility with technical buyers and ability to simplify AI, infrastructure, platform, and architecture concepts for senior business stakeholders.
- Experience partnering with Sales, Product, Engineering, Customer Success, Partnerships, Marketing, and Revenue Operations.
- Track record of hiring, coaching, and developing technical field leaders.
- High-accountability operating style with strong forecasting discipline, field inspection, and customer follow-through.
- Ability to lead in a fast-moving startup with evolving markets, products, and go-to-market processes.
- Experience in AI infrastructure, cloud infrastructure, developer platforms, MLOps, data platforms, GPUs, or high-performance computing.
- Experience building a solutions engineering organization through rapid growth or category creation.
- Hands-on technical background in software engineering, ML engineering, platform engineering, infrastructure, or data systems.
- Experience supporting direct enterprise sales and partner or channel technical motions.
What We Do
Our platform provides intuitive open source tools, powerful cloud infrastructure and expertise to help you build AI securely.
Why Work With Us
Our team has shaped groundbreaking AI projects like PyTorch and PyTorch Lightning. We’re educators, innovators, and collaborators, united by a mission to democratize AI. A hybrid based company headquartered in New York City, we value in-person time for collaboration while still allowing flexibility.
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