New York: eligible, according to the employer's posting.
Who can apply: Only open to applicants in: New York, Washington.
Location as listed by the employer: “Remote (US & Canada); Atlanta; Tampa; Miami; Orlando; Ottawa; New York City; Salt Lake City; Nashville; Ashburn; Austin; Montreal; Toronto; Halifax; Charlotte; Seattle; Dallas-Fort Worth; Fairfax; Boston; Raleigh; Washington; Chicago; Phoenix; Scottsdale; Denver; Vancouver; Canada; Canada; Canada; Canada; Canada; Canada”
Apply on Featherlessai's site ↗
Opens the employer's official application page.
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About this role
Featherlessai is hiring for a Founding Sales Engineer role (full-time). See the official posting for full details.
Requirements
- 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 infrastru…
- 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 dri…
- 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
- Strong written communication: your benchmark writeups and architecture docs should be good enough to forward to a buyer's CEO
- Entrepreneurial and self-directed — comfortable being the first SE, with no playbook and no one to escalate the technical answer to
Summarized from the employer's posting — check the full posting for every requirement.
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