Founding Sales Engineer

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

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

• Conduct technical discovery that encompasses models, workloads, latency, throughput, expenses, and constraints.

• Design and implement proofs of concept and benchmarks against existing solutions.

• Create the demo environment and develop reusable technical resources.

• Manage technical objection resolution related to performance, reliability, cost, security, and data management.

• Provide technical insights to product development and engineering teams.

• Lead architecture reviews, live demonstrations, and sessions with working code.

• Develop migration strategies from closed-model APIs to open weights.

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

• Define and carry out POCs with established technical success criteria.

• Craft technical portions of proposals, RFP responses, and security questionnaires.

• Assist with onboarding and initial production workloads, subsequently transitioning for further expansion.

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

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

• Represent Featherless at conferences, meetups, and developer events.

• Maintain detailed records of POC and technical stages within HubSpot.

⛳️ Requirements

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

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

• Proficient in writing Python and creating demos.

• Familiarity with modern LLM inference, including vLLM, SGLang, TensorRT-LLM or similar, OpenAI-compatible APIs, quantization, LoRA, fine-tuning serving, batching, and KV cache behavior.

• Practical knowledge of the open-model ecosystem, Hugging Face, major open-weight families, and model evaluation techniques.

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

• Capable of effectively communicating with ML engineers and CTOs.

• Strong written communication skills for benchmark reports and architectural documentation.

• Self-motivated and entrepreneurial in spirit.

• Extensive use of AI tools for research and prototyping purposes.

• 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 job location without the need for employer visa sponsorship.

🏝️ Benefits

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

• Equity participation.

• Work closely with the CRO and founders.

• Join a small team that offers immediate impact without hierarchical barriers.

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

• Opportunity to establish the sales engineering function within a rapidly growing AI company.