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About the Role
We are seeking our first Sales Engineer to partner with the founding Account Executive in North America. You will be the technical expert on a two-person deal team, responsible for securing the technical win by demonstrating the superiority of open models on Featherless. This role involves hands-on technical engagement with developers, ML engineers, and CTOs, from initial calls through production rollout. As the first SE, you will build the sales engineering function, including the demo environment, POC playbook, and benchmark harness.
Responsibilities
- Partner with the founding AE as the named technical owner on every active opportunity in North America.
- Run technical discovery to map prospect's models, workloads, targets, and constraints.
- Design and drive POCs and benchmarks to prove Featherless against incumbents.
- Build the demo environment and reusable technical collateral.
- Own technical objection handling end-to-end, including performance, reliability, cost, security, and data handling.
- Act as the field's voice into product and engineering, identifying feature gaps and competitive intelligence.
- Lead technical calls, including architecture reviews, live demos, and code execution against customer use cases.
- Build migration paths from closed-model APIs to open weights.
- Run benchmarks and produce analysis for throughput, latency, and cost-per-token.
- Scope and execute POCs with clear technical success criteria.
- Write technical sections of proposals, RFP responses, and security questionnaires, maintaining a reusable answer library.
- Support onboarding and first production workloads, ensuring a clean handoff.
- Feed structured field input to product and engineering regarding feature gaps, model coverage, reliability, and competitive intel.
- Build and maintain technical assets to scale the team, such as demo apps, notebooks, reference architectures, and integration guides.
- Represent Featherless technically at conferences, meetups, and developer events.
- Keep POC and technical-stage detail current in HubSpot for accurate forecasting.
Requirements
- 3–6 years in pre-sales engineering, solutions architecture, or a forward-deployed/customer-facing engineering role at a GPU cloud, inference provider, MLOps platform, AI/developer tooling company, or cloud infrastructure vendor.
- Genuinely hands-on with Python and comfortable building own demos.
- Working knowledge of modern LLM inference, including serving stacks (vLLM, SGLang, TensorRT-LLM or similar), OpenAI-compatible APIs, quantization, fine-tune serving, batching, and KV cache behavior.
- Practical familiarity with the open-model ecosystem, including Hugging Face and major open weight families.
- Comfortable with containers, Kubernetes, and cloud networking and security fundamentals.
- Ability to be credible with both ML engineers and CTOs.
- Strong written communication skills for benchmark writeups and architecture docs.
- Entrepreneurial and self-directed, comfortable being the first SE with no established playbook.
- Experience using AI tools heavily in personal workflow for research, prototyping, and speed.
- Experience selling or building on 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 (nice to have).
Skills
- Python
- LLM inference
- vLLM
- SGLang
- TensorRT-LLM
- OpenAI-compatible APIs
- Quantization
- Fine-tune serving
- Batching
- KV cache behavior
- Hugging Face
- Open weight models
- Containers
- Kubernetes
- Cloud networking
- Cloud security
- Technical sales
- Solutions architecture
- Customer-facing engineering
- Benchmark analysis
- Cost modeling
- Security questionnaires
- RFP responses
- Technical writing
- AI tools
Location
- North America
Work Type
- Full-time
Experience Level
- 3-6 years
Benefits
- Competitive base + variable tied to the team's number
- Equity
About the Company
- Featherless.ai is building the world's most reliable open-model inference platform.
- Backed by AMD, Airbus Ventures, 500 Global, Kickstart Ventures, HF0 Residency, Panache Ventures, and Oakseed Ventures.
- Well-funded team of researchers and engineers on a mission to democratize AI through performance and accessibility.
- Cloud provides instant access to 40,000+ open-source AI models and research innovations powering next-generation efficiency, reliability, and model optimization.