Founding Sales Engineer proving Featherless.ai’s open-model inference platform for North American customers. Building demos, benchmarks, POCs, and the company’s sales engineering function.
Responsibilities
Partner with the founding Account Executive as the named technical owner on active 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 covering performance, reliability, cost modeling, security, and data handling
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 clear technical success criteria
Write technical sections of proposals, RFP responses, and security questionnaires
Support onboarding and first production workloads, then hand off and remain available for expansion
Provide structured field feedback to product and engineering
Represent Featherless at conferences, meetups, and developer events
Keep POC and technical-stage details current 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, KV cache behavior, tokens/sec, and cost drivers
Practical familiarity with Hugging Face and major open-weight model families
Experience evaluating one model against another
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 documents
Entrepreneurial and self-directed
Heavy use of AI tools for research, prototyping, and workflow acceleration
Nice to have: experience with AMD GPUs / ROCm
Nice to have: exposure to enterprise security and compliance review
Nice to have: open-source contributions or public technical writing
Nice to have: experience as the first technical hire on a GTM team
Must be legally authorized to work in the job's required location without employer visa sponsorship
Benefits
Competitive base + variable tied to the team's number
Equity
Direct work with the CRO and founders
Small team, no layers, immediate impact
Access to real technical depth: 40,000+ open models and an in-house research team
Opportunity to build the sales engineering function
Opportunity to represent Featherless at conferences, meetups, and developer events
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