2 months 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
Nebius builds a full-stack AI cloud offering GPU compute, storage, and tools for training and deploying ML models for startups, enterprises, and research labs. It sells consumption-based cloud infrastructure (IaaS/PaaS) and managed services tailored to generative AI workloads, including large-scale model training and inference. The company is headquartered in Amsterdam and operates as an independent provider.