Responsibilities

• Deployment & technical enablement: Build and maintain deployment guides, reference architectures, and technical documentation for NeoCloud and Inference customers evaluating or deploying our products
• Hands-on validation: Deploy and debug Kubernetes clusters and inference stacks yourself to validate claims, reproduce customer issues, and keep collateral technically authentic.
• Partnerships: Identify, develop, and manage strong technical relationships with NeoClouds, GPU cloud providers, and ecosystem players (inference frameworks, hardware vendors) to expand product footprint
• Technical marketing content: Translate performance data (KV cache hit rates, TTFT, session density, cost-per-token) into customer-facing narratives, briefing decks, and competitive positioning
• Sales enablement: Create battle cards, ROI/pricing tools, and technical FAQs that help the sales team and partners sell the product credibility
• Community engagement: Contribute to technical community engagement (GitHub, Hugging Face, vLLM/SGLang communities)
• GTM execution: Conference demos, technical collaterals, blogs and website content.

Requirements

• Prior Experience in the technology domain: 5+ years
• Bachelors in Computer Science or Electronics/Electrical engineering, MBA is a plus
• Experience in the AI infrastructure space, preferably at a NeoCloud, GPU cloud provider, or inference software company
• Hands-on experience deploying and operating Kubernetes clusters, including debugging real production issues
• Working knowledge of the inference stack—including KV cache, GPU memory constraints, and throughput/latency tradeoffs— enough to have a detailed technical conversation with an ML infra engineer
• Track record of applying infrastructure efficiency improvements through software stack optimization.
• Familiarity with inference serving frameworks like vLLM, SGLang, or others
• Strong business acumen: comfortable with partnership negotiation and commercializing technical products
• Excellent verbal and written communication — able to produce clear, technically accurate customer-facing content
• Startup mentality: High ownership, comfortable with ambiguity, and willing to do work above and below your core domains

Preferred

• MBA is a plus
• Existing relationships in the NeoCloud/Inference-as-a-Service ecosystem and GPU cost/performance modeling is a plus
• Prior technical marketing, application or solutions engineering experience in AI/ML infrastructure or AI model efficiency teams will be a plus