# Head of Sales Engineering - Token Factory **Company**: Nebius **Location**: Remote - United States **Work arrangement**: remote **Experience**: executive **Job type**: full-time **Salary**: $228,000-$285,000 USD **Category**: Sales **Industry**: Technology **Apply**: https://job-boards.greenhouse.io/nebius/jobs/4864470101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_6c75769e-de3 ## Description We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale. In AI infrastructure, PoC success does not always guarantee production success. Our Sales Engineering team exists to ensure that what we commit to with customers is scalable, efficient, economically viable, and aligned with platform strategy. We are looking for a Head of Sales Engineering to lead and develop our Sales Engineering function while remaining deeply involved in our most strategic and technically complex customer engagements. **Responsibilities:** - Team Leadership & Development: Lead, coach, and develop a high-performing team of Sales Engineers Set clear expectations for technical quality, customer engagement, and commercial impact Provide hands-on technical mentorship and support the growth of individual team members - Strategic Technical Leadership: Act as the senior technical advisor on strategic and complex customer opportunities Lead deep technical discovery with engineering teams, technical founders, and customer executives Guide the team in understanding model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies - Commercial Acceleration & Deal Governance: Partner closely with Sales leadership on strategic deals, account planning, and technical qualification Influence deal strategy through architectural clarity and a strong understanding of customer requirements Establish clear technical qualification and escalation mechanisms for complex opportunities - PoC Architecture & Validation: Establish standards for how the team scopes, designs, and evaluates customer PoCs Ensure measurable success criteria are defined, including latency, TTFT, throughput, reliability, and cost envelope Guide workload classification and determine the appropriate depth of optimization - Pattern Recognition & Platform Leverage: Build a systematic view of technical patterns emerging across customer engagements Identify recurring workload, configuration, and architecture patterns Quantify demand for advanced optimizations such as quantization, speculative decoding, and other inference techniques - Cross-Functional Leadership: Serve as a key interface between Sales, Sales Engineering, Product, and Engineering Represent customer technical requirements while maintaining a clear view of platform strategy and engineering constraints Improve how technical decisions, risks, and dependencies are communicated across teams **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 - Strong 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 **What success looks like:** - The Sales Engineering team operates with clear standards, ownership, and technical rigor - Sales Engineering capacity is allocated predictably toward the highest-value opportunities - Strategic deals are technically sound before significant Engineering engagement - PoCs are consistently scoped, measurable, and economically justified **Pay Transparency:** We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. **Base Compensation Range:** $228,000-$285,000 USD **Benefits & Perks:** - Competitive compensation - Career growth and learning opportunities - Flexibility and ownership - Collaborative and innovative culture - Opportunity to work on impactful AI projects - International environment and talented teams ## Skills ### Required - AI inference systems - GPU-backed infrastructure - LLM workloads - performance-sensitive environments - inference frameworks - libraries such as vLLM - SGLang - TensorRT-LLM --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/nebius/jobs/4864470101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)