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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.

Responsibilities

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.

Requirements

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.

Skills

AI infrastructure
Cloud infrastructure
Developer platforms
MLOps
Data platforms
GPUs
High-performance compute
Software engineering
ML engineering
Platform engineering
Infrastructure
Data systems

Location

NYC - Hybrid

Work Type

Hybrid

Experience Level

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.

Salary/Compensations

$250,000—$400,000 USD

Benefits

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.

About the Company

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.

Equal Opportunity

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.