VP of Solution Engineering

About this role

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.

VP of Solutions Engineering

Team: Solutions Engineering

Location: [NYC] - Hybrid

Reports to: CRO or CEO

About Lightning AI

Lightning 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.

About the Role

We are looking for a VP of Solutions Engineering to build and lead the technical field organization that helps Lightning AI win, onboard, and expand strategic customers. This is a senior leadership role for someone who can combine technical depth, enterprise selling discipline, customer empathy, and operating rigor. You will define how Lightning AI proves value in the field, how our technical teams partner with Revenue, and how customer patterns translate into better product and GTM execution.

What You'll Do

• Build, lead, and scale the Solutions Engineering organization across enterprise, strategic, channel, and technical specialist motions.

• Own the technical sales strategy for complex enterprise opportunities, including discovery, demo strategy, architecture, POC methodology, technical validation, and executive alignment.

• Partner with Sales leadership to improve win rates, deal velocity, qualification quality, forecast confidence, and technical differentiation.

• Develop a repeatable field engineering playbook for AI infrastructure, ML workflows, platform adoption, technical evaluations, security reviews, and enterprise buying committees.

• Recruit and develop exceptional MLSEs, Solutions Engineers, technical leaders, and field specialists.

• Create clear standards for demos, POCs, technical discovery, architecture reviews, customer handoffs, and product feedback loops.

• Represent Lightning AI with executive and technical customer stakeholders, including CTOs, VP Engineering, Heads of AI, ML platform leaders, research leaders, and infrastructure leaders.

• Partner deeply with Product and Engineering to surface field patterns, influence roadmap priorities, and close gaps that block enterprise adoption.

• Work with Partnerships, Customer Success, Marketing, and Revenue Enablement to build consistent technical messaging and scalable field assets.

• Establish the metrics, inspection points, and operating cadence for a world-class technical pre-sales organization.

What We're Looking For

• 12+ years in solutions engineering, sales engineering, field engineering, technical pre-sales, ML infrastructure, or related technical leadership roles.

• 5+ years building and leading high-performing technical field teams in enterprise technology markets.

• 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.

Nice-to-Haves

• 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 e

Similar jobs

• Director of Solutions Engineering — Netboxlabs · Remote
• VP of Engineering — Field-ai · Irvine, CA
• VP of Engineering — Homechef · Chicago, IL
• VP of Engineering — Hyperbolic · San Francisco, CA
• VP of Engineering — Cape · New York
• VP of Engineering — Socket · San Francisco
• VP of Engineering — Neuralconcept · Remote
• VP of Software Engineering — Colabsoftware · North America, Remote