Founding Sales Engineer

🔥 19 hours ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $150k - $190k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💸 Sales Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Featherless AI

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2023

🤖 Artificial Intelligence

☁️ SaaS

🔌 API

Artificial Intelligence • SaaS • API

Featherless AI is a serverless AI inference and model hosting provider that offers API access to a large and growing catalog of open-weight models (12,200+), enabling developers and businesses to deploy, fine-tune, and run models at scale without managing servers. The company provides flat subscription pricing with unlimited tokens, GPU orchestration, private/anonymous usage (no logs), and options for enterprise self-hosting or scale units for high concurrency. Featherless AI also operates as an AI research lab focused on open-source and post-transformer model research, claiming significant cost and performance improvements for large models and AI agents.

📋 Description

• Partner with the founding Account Executive as the named technical owner on North American opportunities • Run technical discovery covering models, workloads, latency, throughput, spend, and constraints • Design and drive proofs of concept and benchmarks against incumbent solutions • Build the demo environment and reusable technical collateral • Own technical objection handling for performance, reliability, cost, security, and data handling • Provide technical input to product and engineering • Lead architecture reviews, live demos, and working-code sessions • Build migration paths from closed-model APIs to open weights • Run benchmarks and produce throughput, latency, and cost-per-token analyses • Scope and execute POCs with defined technical success criteria • Write technical sections of proposals, RFP responses, and security questionnaires • Support onboarding and initial production workloads, then hand off for expansion • Feed structured field input to product and engineering • Build demo apps, notebooks, reference architectures, integration guides, and internal enablement • Represent Featherless at conferences, meetups, and developer events • Maintain POC and technical-stage details in HubSpot

🎯 Requirements

• 3–6 years in pre-sales engineering, solutions architecture, or a forward-deployed/customer-facing engineering role • Experience at a GPU cloud, inference provider, MLOps platform, AI/developer tooling company, or cloud infrastructure vendor • Comfortable writing Python and building demos • Working knowledge of modern LLM inference, including vLLM, SGLang, TensorRT-LLM or similar, OpenAI-compatible APIs, quantization, LoRA, fine-tune serving, batching, and KV cache behavior • Practical familiarity with the open-model ecosystem, Hugging Face, major open-weight families, and model evaluation • Comfortable with containers, Kubernetes, cloud networking, and security fundamentals • Ability to communicate credibly with ML engineers and CTOs • Strong written communication for benchmark writeups and architecture documentation • Entrepreneurial and self-directed • Heavy use of AI tools for research and prototyping • Nice to have: AMD GPUs/ROCm, enterprise security and compliance review, open-source contributions or public technical writing, or experience as the first technical hire on a GTM team • Legally authorized to work in the job’s required location without employer visa sponsorship

🏖️ Benefits

• Competitive base plus variable tied to the team's number • Equity • Work directly with the CRO and founders • Small team with no layers and immediate impact • Access to real technical depth, including 40,000+ open models and an in-house research team • Opportunity to build the sales engineering function at a fast-moving AI company