Lead Sales Engineer – Token Factory

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead, coach, and nurture a high-achieving team of Sales Engineers.

• Establish benchmarks for technical excellence, customer engagement, and commercial outcomes.

• Create uniform methods for discovery, architecture evaluations, PoC qualification, and production readiness.

• Distribute Sales Engineering resources across key opportunities.

• Assist in recruitment, onboarding, and organizational growth.

• Act as a senior technical consultant on strategic and intricate customer opportunities.

• Conduct technical discovery alongside engineering teams, technical founders, and customer executives.

• Convert customer requirements into production-capable architectures.

• Recognize technical, operational, and financial risks.

• Collaborate with Sales leadership on strategic deals, account planning, and technical assessment.

• Oversee technical qualification, escalation processes, customer commitments, and deal strategies.

• Enhance the conversion rate from PoC to production.

• Define standards and measurable success criteria for customer PoCs, encompassing latency, TTFT, throughput, reliability, and cost.

• Coordinate resources among Sales Engineering, ML Solution Architecture, Product, Engineering, and GPU capacity.

• Facilitate structured Go / No-Go decisions and avoid uncontrolled customization.

• Identify recurring workloads, configuration needs, and architectural patterns.

• Measure demand for quantization, speculative decoding, and other inference methodologies.

• Present customer insights to Product and Engineering leadership.

• Influence platform priorities utilizing workload data and commercial prospects.

• Act as a liaison between Sales, Sales Engineering, Product, and Engineering.

• Enhance communication regarding technical decisions, risks, and dependencies.

• Assist leadership in balancing revenue potential, customer impact, and engineering investments.

⛳️ Requirements

• Profound knowledge of AI inference systems and GPU-based infrastructure.

• Extensive experience with LLM workloads and performance-critical environments.

• Familiarity with inference frameworks and libraries such as vLLM, SGLang, and TensorRT-LLM.

• Strong ability to analyze latency, throughput, GPU utilization, costs, and architectural compromises.

• Experience in leading, mentoring, or managing Sales Engineers, Solution Architects, or similar customer-oriented technical teams.

• Proven success in supporting intricate enterprise or developer-focused technical sales processes.

• Strong presence with engineering-driven organizations.

• Ability to engage credibly with technical founders, engineering leaders, and senior customer stakeholders.

• Keen judgment on when to standardize, when to customize, and when to decline requests.

• Comfort in challenging assumptions and constructively pushing back with both clients and internal stakeholders.

• Commercial awareness—recognizing that engineering time and GPU capacity are strategic assets.

• Capability to navigate between detailed technical discussions, deal strategies, team leadership, and executive communications.

• Experience in establishing repeatable processes and technical standards in a rapidly growing organization.

• Candidates must be authorized to work in the country where they apply and provide proof of employment eligibility.

🏝️ Benefits

• Competitive salary.

• Opportunities for career advancement and learning.

• Flexibility and autonomy in your role.

• A collaborative and innovative company culture.

• Chance to work on meaningful AI projects.

• An international setting with talented teams.