Solutions Architect

What You'll Do

• Own a pipeline of accounts — AI labs, enterprises deploying AI, and AI-native startups
• Run full sales cycles end-to-end: outbound, discovery, technical evaluation, commercial negotiation, close
• Participate in and eventually lead technical deep dives, POCs, and architecture reviews — with engineering support where needed
• Learn to translate customer requirements into concrete evaluation criteria, and RadixArk capabilities into language technical buyers care about
• Partner with engineering on benchmarks, performance tuning, and technical escalations
• Co-sell with Google Cloud, AWS, and regional GPU/cloud partners
• Represent RadixArk at AI conferences, developer events, and SGLang community meetups
• Feed market intelligence back to product and engineering — what you're hearing in the field shapes our roadmap

What We're Looking For

• 2+ years of experience in enterprise or technical sales, solutions engineering, or a customer-facing technical role — backgrounds in AI infrastructure, cloud, developer tools, or deep-tech are a plus but not required
• Demonstrated ability to run or contribute to a full sales cycle, including technical evaluations or POCs (formal experience helpful, but strong aptitude and trajectory matter)
• Technical curiosity and baseline fluency — you don't need to be an ML engineer, but you should be comfortable discussing concepts like LLM inference, GPU infrastructure, and distributed systems, and willing to go deeper
• Comfort engaging with engineering teams and asking good questions in technical conversations
• Ambition to grow into a hybrid seller-engineer role over time
• Existing relationships across AI, cloud, or enterprise ecosystems are a plus

Compensation

We offer competitive base + variable compensation with meaningful equity, comprehensive health benefits, and flexible work arrangements. Compensation is determined by location, level, and experience.