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python sales engineering pre-sales solutions architecture llm

πŸ“‹ Description

  • Partner with the founding AE as the named technical owner on every active opportunity in North
  • Run technical discovery: map each prospect's models, workloads, latency and throughput targets
  • Design and drive POCs and benchmarks that prove Featherless against the incumbent β€” closed-model
  • Build the demo environment and reusable technical collateral that the whole GTM team sells with
  • Own technical objection handling end-to-end: performance, reliability, cost modeling, security, and
  • Be the field's voice into product and engineering β€” you'll know what we're losing on before anyone

🎯 Requirements

  • 3–6 years in pre-sales engineering, solutions architecture, or a forward-deployed / customer-facing
  • Genuinely hands-on: you write Python comfortably and build your own demos
  • Working knowledge of modern LLM inference: serving stacks (vLLM, SGLang, TensorRT-LLM or similar)
  • Practical familiarity with the open-model ecosystem: Hugging Face, major open weight families
  • Comfortable with containers, Kubernetes, and cloud networking and security fundamentals
  • Credible with both ML engineers and CTOs in the same meeting

🎁 Benefits

  • Build the sales engineering function at a company in one of the fastest-moving spaces in AI
  • Work as a true pair with the founding AE, and directly with the CRO and founders β€” small team, no
  • Real technical depth: 40,000+ open models and an in-house research team shipping inference and
  • Be part of a small, high-performing team making open weight AI accessible to everyone
  • Competitive base + variable tied to the team's number, plus equity
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