HHiring Reality
← Lightning AI

Machine Learning Sales Engineer

Lightning AI
Location
New York, New York, United States
Posted
12 days ago
Department
Sales
What they actually want (must-haves)
  • 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
Nice to have
  • 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
What the job really is

As a Machine Learning Sales Engineer at Lightning AI, you will act as a key technical partner to the sales team, translating customer requirements into scalable AI solutions on the Lightning AI platform. Your role involves leading technical discovery, product demonstrations, and post-sales engagements, while collaborating with various teams to drive customer adoption and influence product direction.

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
Things to weigh
  • No specific mention of the technology stack used in the role
  • The role requires comfort in a fast-moving startup environment, which may imply a degree of uncertainty or rapid change
  • The position is hybrid, which may require flexibility in work location
Job score3.6/5
Benefits5/5
Freshness5/5
Career value4/5
Role clarity4/5
Pay transparency0/5

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