Machine Learning Sales Engineer
Customer-facing solutions engineer who leads technical discovery, demonstrations, proof-of-concepts, and deployments for AI and machine learning customers. Requires 5+ years in solutions or sales engineering and strong experience with enterprise technical selling and ML infrastructure.
About the job
Responsibilities
- Translate complex customer requirements into scalable AI and machine learning solutions on the Lightning AI platform.
- Lead technical discovery, product demonstrations, proof-of-concepts, and post-sales engagements.
- Help customers evaluate, deploy, and expand their use of the platform.
- Partner with Sales, Product, Engineering, Customer Success, Partnerships, Marketing, and Revenue Operations.
- Translate customer needs into actionable product insights.
- Support enterprise sales and partner/channel technical motions.
Requirements
- 5–7 years of experience in solutions engineering, sales engineering, field engineering, technical pre-sales, ML infrastructure, or related technical leadership roles.
- Experience with complex technical selling, enterprise evaluation cycles, proof-of-concepts, executive alignment, and cross-functional deal execution.
- Ability to explain AI, infrastructure, platform, and architecture concepts to senior business stakeholders.
- Experience hiring, coaching, and developing technical field leaders.
- Strong forecasting, field inspection, accountability, and customer follow-through skills.
- Ability to operate effectively in a fast-moving startup environment.
Nice-to-Haves
- Experience with AI infrastructure, cloud infrastructure, developer platforms, MLOps, data platforms, GPUs, or high-performance computing.
- Experience building a solutions engineering organization during rapid growth or category creation.
- Hands-on experience in software engineering, ML engineering, platform engineering, infrastructure, or data systems.
- Experience supporting direct enterprise sales and partner/channel technical motions.
Compensation and Benefits
- Annual base salary: $160,000–$180,000 USD.
- Discretionary bonus and meaningful equity component.
- Comprehensive health coverage, retirement savings matching, flexible time off, paid parental and family leave, professional development allowance, wellness and work-from-home stipends, sabbatical leave, flexible schedules, and office meals.
Skills
Machine Learning, AI Infrastructure, Cloud Infrastructure, MLOps, Data Platforms, Gpus, High-Performance Computing, Proof Of Concepts, Enterprise Sales, Solutions Engineering, Sales Engineering, Platform Engineering, Software Engineering, Forecasting
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