Founding Sales Engineer: Open-Model AI Platform

Featherless AI; Raleigh (NC); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Equity

Competitive base + variable pay

Equity component

Open-weight AI platform access

Job summary

Featherless AI is hiring its first Sales Engineer to join the North America team. You will be the technical owner on opportunities, running discovery, designing POCs, and benchmarking open models against incumbents.

You will craft demos, security answers, migration guides, and reusable assets for the GTM team. You’ll work directly with the founding AE, addressing performance, reliability, and cost scenarios for developers, ML engineers, and CTOs.

Qualifications

• Hands-on: write Python and build own demos.
• Experience in pre-sales engineering or solutions architecture.
• Knowledge of modern LLM inference stacks and OpenAI-compatible APIs.
• Familiarity with open-weight ecosystems (e.g., Hugging Face).
• Comfort with containers, Kubernetes, and cloud networking/security.

Responsibilities

• Lead technical calls with buyers’ stack: architecture reviews and live demos.
• Design and run POCs and benchmarks to prove open-model advantage.
• Build reusable technical collateral and migration guides.
• Write technical sections of proposals and security questionnaires.
• Provide onboarding support and scalable technical assets.

Skills

Python programming

LLM inference

Prototyping demos

Kubernetes

Cloud networking & security

Technical storytelling

Pre-sales engineering

AI tooling proficiency

Tools

HubSpot

Docker

Benchmarks tooling

Job description

Featherless AI is hiring its first Sales Engineer to join the North America team. You will be the technical owner on opportunities, running discovery, designing POCs, and benchmarking open models against incumbents.

You will craft demos, security answers, migration guides, and reusable assets for the GTM team. You’ll work directly with the founding AE, addressing performance, reliability, and cost scenarios for developers, ML engineers, and CTOs.