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Lightning AI

Machine Learning Sales Engineer

Lightning AI · New York, New York, United States

Posted 8 days ago

or apply directly on Lightning AI's site. We never take the application ourselves.

Is this posting real?

This role has been open
8 days
Lightning AI's roles stay open a median of 45 days
Reposted
No
Salary listed
No
6% of Lightning AI's roles list one
Ghost-job risk at Lightning AI
high
33 stale, 1 reposted of 54 open
Hiring momentum
61 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Lightning AI's own greenhouse board since 2026-08-03. Full hiring picture for Lightning AI.

About this role

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.

Our read on this posting3.6out of 5
benefits
5/5
freshness
5/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Lightning AI as an employer.

What you need

  • 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 you get

  • 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

Worth weighing

  • 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

Summarised from Lightning AI's posting. Read the full original.

Listed by Lightning AI on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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