Backed by Airbus Ventures.
About the role
We're hiring our first Sales Engineer to pair directly with our founding Account Executive in North America. You are the technical half of a two-person deal team: the AE owns the commercial motion, you own the technical win. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 3–6 years in pre-sales engineering, solutions architecture, or a forward-deployed / customer-facing engineering role — at a GPU cloud, inference provider, MLOps platform, AI/developer tooling company, or cloud infrastructure vendor
- Genuinely hands-on: you write Python comfortably and build your own demos rather than requesting them
- Working knowledge of modern LLM inference — serving stacks (vLLM, SGLang, TensorRT-LLM or similar), OpenAI-compatible APIs, quantization, LoRA and fine-tune serving, batching and KV cache behavior, and what actually drives tokens/sec and cost
- Practical familiarity with the open-model ecosystem: Hugging Face, the major open weight families, and how teams evaluate one model against another
- Comfortable with containers, Kubernetes, and cloud networking and security fundamentals
- Credible with both audiences in the same meeting — the ML engineer who wants the numbers and the CTO who wants the risk and cost story
More about this role
Featherless.ai is building the world's most reliable open-model inference platform.
Backed by AMD, Airbus Ventures, 500 Global, Kickstart Ventures, HF0 Residency, Panache Ventures, and Oakseed Ventures, we're a well-funded team of researchers and engineers on a mission to democratize AI through performance and accessibility.
Our cloud provides instant access to 40,000+ open-source AI models and the research innovations powering next-generation efficiency, reliability, and model optimization.
We're hiring our first Sales Engineer to pair directly with our founding Account Executive in North America. You are the technical half of a two-person deal team: the AE owns the commercial motion, you own the technical win.
Our buyers are developers, ML engineers, and CTOs, and they don't buy on slides. They buy when someone credible sits with them, looks at their workload, and shows them that open models on Featherless are faster, cheaper, and more reliable than what they're running today. That's your job — hands on keyboard, in the customer's stack, from first technical call through production rollout.
Because you're the first SE here, you'll build the function as you go: the demo...
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