Senior Sales Engineer – Token Factory

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

📋 Description

• Spearhead in-depth technical investigations alongside engineering teams and technical founders.

• Comprehend model specifications, traffic projections, latency limitations, GPU economics, and system interdependencies.

• Convert client aspirations into production-capable architectures.

• Recognize potential technical risks at an early stage.

• Collaborate with Sales on key strategic initiatives.

• Shape deal strategies through clear architectural frameworks.

• Mitigate misaligned commitments prior to engineering resource allocation.

• Enhance the transition from Proof of Concept to production by emphasizing technical realism.

• Establish quantifiable success metrics, including latency, TTFT, throughput, and cost parameters.

• Categorize workload complexities and the necessary depth of optimization.

• Coordinate ML Solution Architects, engineering teams, GPU capacity, and other essential resources.

• Facilitate organized Go/No-Go decision-making processes.

• Avoid uncontrolled customization or unaccounted R&D efforts.

• Identify recurring configuration patterns across different clients.

• Assess demand for advanced optimization techniques such as quantization and speculative decoding.

• Provide structured insights to Product and Engineering teams.

• Assist in the evolution of platform capabilities driven by actual workload data.

⛳️ Requirements

• Profound understanding of AI inference systems and GPU-driven infrastructure.

• Experience with LLM workloads and performance-critical environments.

• Familiarity with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM).

• Ability to analyze latency, throughput, cost, and architectural trade-offs.

• Strong presence with customer-focused engineering organizations.

• Comfort in challenging assumptions and constructively pushing back.

• Commercial insight – recognizing that engineering time is a valuable strategic asset.

• Proficient in programming with Python.

• Experience with vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs.

• Familiarity with LangChain, LangSmith, smolagents, or similar agentic pipeline frameworks.

• Experience with FastAPI or Flask frameworks.

• Proficient in Kubernetes, Docker, and Git.

• Familiarity with AWS (SageMaker, Bedrock), GCP (Vertex AI), or Azure (Azure ML).

• Must possess authorization to work in the country of application and provide proof of employment eligibility.

🏝️ Benefits

• Competitive salary.

• Opportunities for career advancement and professional development.

• Flexibility and a sense of ownership in your role.

• A collaborative and innovative work culture.

• Chance to engage in meaningful AI projects.

• An international setting with skilled teams.