Hiring: Founding Sales Engineer Company: Featherless AI Location: Orlando, FL Job Posted Time: 2026-09-15 14:41:39 Target Skills & Keywords : AES, Accessibility, HubSpot, Hugging Face, Kubernetes, LLM, MLOps, Python, TensorRT, vLLM About the job Experience: •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 Required Skills: •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. •Because you're the first SE here, you'll build the function as you go: the demo environment, the POC playbook, the benchmark harness, the security answers, the migration guides. Every deal you win should make the next one easier to win. •If you like being the person who can actually answer the hard question in the room — and want the technical foundation of a Series A GTM engine to be yours — this is for you. •Partner with the founding AE as the named technical owner on every active opportunity in North America •Run technical discovery: map each prospect's models, workloads, latency and throughput targets, spend, and constraints •Design and drive POCs and benchmarks that prove Featherless against the incumbent — closed-model APIs, another inference provider, or self-managed GPUs •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 data handling •Be the field's voice into product and engineering — you'll know what we're losing on before anyone else does Qualifications: •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 •Solid functional 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 •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 Use AI tools heavily in your own workflow to research, prototype, and move faster •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 — small team, no layers, immediate impact Compensation: •$150,000 - $190,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!