Founding Sales Engineer

This is a fully remote position, open to applicants in United States, +13 more locations.

📋 Description

• Collaborate with the founding Account Executive as the designated technical lead for all ongoing North American opportunities.

• Conduct technical discovery sessions focused on models, workloads, latency and throughput targets, spending, and constraints.

• Develop and manage proofs of concept and benchmarks against existing solutions.

• Create the demo environment along with reusable technical materials.

• Take charge of addressing technical objections related to performance, reliability, cost modeling, security, and data management.

• Facilitate architecture reviews, live demonstrations, and working-code sessions tailored to the technology stacks of buyers.

• Establish migration pathways from closed-model APIs to open weights.

• Execute benchmarks and generate analyses on throughput, latency, and cost-per-token.

• Define and implement POCs with well-defined technical success criteria.

• Prepare technical sections of proposals, RFP responses, and security questionnaires.

• Assist with onboarding and initial production workloads, then transition and remain accessible for further expansion.

• Provide structured feedback from the field to product and engineering teams.

• Develop demo applications, notebooks, reference architectures, integration guides, and internal training materials.

• Technically represent Featherless at conferences, meetups, and developer events.

• Maintain current POC and technical-stage information in HubSpot.

⛳️ Requirements

• 3–6 years of experience in pre-sales engineering, solutions architecture, or a customer-facing engineering role.

• Background at a GPU cloud, inference provider, MLOps platform, AI/developer tooling company, or cloud infrastructure vendor.

• Proficient in writing Python and creating demos.

• Knowledgeable about modern LLM inference, including vLLM, SGLang, TensorRT-LLM or similar, OpenAI-compatible APIs, quantization, LoRA, fine-tuning serving, batching, KV cache behavior, tokens/sec, and cost factors.

• Familiar with Hugging Face, major open-weight model families, and model evaluation techniques.

• Comfortable working with containers, Kubernetes, and basic cloud networking and security principles.

• Capable of engaging credibly with ML engineers and CTOs.

• Excellent written communication skills for benchmark reports and architecture documentation.

• Entrepreneurial spirit and self-motivated.

• Extensive experience using AI tools for research, prototyping, and enhancing workflows.

• Preferred: Experience with AMD GPUs / ROCm, enterprise security and compliance assessments, contributions to open-source projects or public technical writing, or being the first technical hire on a go-to-market team.

• Legally authorized to work in the specified location without requiring employer visa sponsorship.

🏝️ Benefits

• Competitive base salary along with variable compensation linked to team performance.

• Equity opportunities.

• Direct collaboration with the founding Account Executive, Chief Revenue Officer, and founders.

• Immediate impact in a small, agile team with minimal hierarchy.

• Access to over 40,000 open models and an in-house research team.

• Opportunity to shape the sales engineering function.

• Chance to represent Featherless at conferences, meetups, and developer events.