Machine Learning Sales Engineer

Lightning AI

$160K — $180K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years in solutions engineering, sales engineering, field engineering, or related roles.
  • Deep understanding of complex technical selling and enterprise evaluation cycles.
  • Credibility with technical buyers, able to simplify complex concepts for stakeholders.
  • Experience collaborating with multiple departments including Sales, Product, and Engineering.
  • Strong talent judgment with experience in hiring and developing technical leaders.
  • High-accountability operating style with strong customer follow-through.
  • Comfort in fast-moving startup environments.

Responsibilities

  • Serve as a key technical partner for the go-to-market organization.
  • Translate complex customer requirements into scalable AI solutions.
  • Lead technical discovery and product demonstrations.
  • Conduct proof-of-concepts, aiding customers in evaluating the platform.
  • Work cross-functionally to provide actionable product insights.
  • Influence product direction based on customer needs and feedback.
  • Accelerate customer adoption of the Lightning AI platform.

Benefits

  • Comprehensive Health Coverage: Medical, dental, and vision for employees and dependents.
  • Meaningful Equity: RSUs tied to the company's long-term success.
  • Retirement Savings: 401(k) matching and pension contributions.
  • Flexible Time Off: Unlimited PTO and company holidays.
  • Company-Wide Winter Break: Two weeks in winter for rest and recharge.
  • Paid Parental & Family Leave: Support for life’s important moments.
  • Professional Development: Annual allowance for learning and development.
  • Wellness Benefits: Stipends for physical and mental well-being.
  • Sabbatical Program: Four weeks of paid leave after four years of service.
  • Flexible Work: Hybrid work model and flexible schedules.
Full Job Description
Machie Learning System Engineer

Team: Solutions Engineering

Location: [NYC] - Hybrid

Reports to: Head of Solution Engineering
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.
What You'll Do

As 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.
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 engineering, ML engineering, platform engineering, infrastructure, or data systems.
  • Experience supporting both direct enterprise sales and partner/channel technical motions.
Why Lightning AI
  • 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.

The anticipated annual base salary range for this role is:

$160,000-$180,000 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.

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