3 hours ago
Remote, United StatesStaff+
Base Salary
$300k - $380k/yr
Responsibilities
- Lead, coach, mentor, hire, and develop a high-performing Sales Engineering team.
- Establish standards and operating mechanisms for technical discovery, architecture reviews, PoC qualification, production readiness, and escalation.
- Provide architectural leadership for strategic customer opportunities and translate customer requirements into production-feasible solutions.
- Partner with Sales leadership on strategic deals, account planning, technical qualification, and deal governance.
- Define measurable PoC success criteria covering latency, TTFT, throughput, reliability, and cost.
- Coordinate Sales Engineering, ML Solution Architecture, Product, Engineering, and GPU capacity for complex engagements.
- Identify technical, operational, economic, and platform risks before significant resources are committed.
- Recognize recurring workload and architecture patterns and influence Product and Engineering priorities with customer evidence.
Requirements
- Deep understanding of AI inference systems and GPU-backed infrastructure.
- Significant experience with LLM workloads and performance-sensitive environments.
- Experience with inference frameworks and libraries such as vLLM, SGLang, and TensorRT-LLM.
- Ability to reason about latency, throughput, GPU utilization, cost, and architecture tradeoffs.
- Experience leading, mentoring, or managing Sales Engineers, Solution Architects, or similar customer-facing technical teams.
- Demonstrated success supporting complex enterprise or developer-focused technical sales cycles.
- Strong customer presence with engineering-first organizations and credibility with technical founders, engineering leaders, and senior stakeholders.
- Strong judgment regarding standardization, customization, technical qualification, and resource allocation.
- Commercial awareness and the ability to balance customer urgency with sustainable platform development.
- Experience building repeatable processes and technical standards in a fast-growing organization.
Benefits
- Competitive compensation and benefits packages.
- Career growth and learning opportunities.
- Flexibility and ownership.
- Collaborative and innovative culture.
- Opportunity to work on impactful AI projects.
- International environment and talented teams.
- Remote work permitted from the United States.
Categories
Solutions Engineering
About Nebius
The Nebius AI Cloud brings powerful full-stack infrastructure for AI developers and practitioners across startups, enterprises and science institutes to build and deploy generative AI applications and rapidly deliver scientific breakthroughs by training and running ML models within a secure, high-performance, and cost-optimized cloud environment.