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Founding Sales Engineer
Featherless AI. Partner with the founding Account Executive as the named technical owner on every active North American opportunity .
Posted 10/15/2026full-timeRemote • United States, CanadaMid-LevelSenior💰 $150,000 - $190,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in pre-sales engineering and solutions architecture, with a strong focus on technical discovery, proof of concept execution, and effective communication with stakeholders. Proficient in modern LLM inference and cloud infrastructure, capable of building demo environments and technical collateral.
Highest-signal resume keywords
Pre-Sales EngineeringSolutions ArchitecturePython ProgrammingModern LLM InferenceCloud Networking
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Technical DiscoveryProofs of ConceptBenchmark AnalysisTechnical DocumentationModel Evaluation
Soft Skills
Strong Written CommunicationEntrepreneurial MindsetSelf-Directed
Tools & Technologies
Hugging FaceKubernetesAI ToolsOpenAI-Compatible APIsContainers
Industry Keywords
GPU CloudMLOps PlatformAI/Developer ToolingCloud InfrastructureEnterprise Security
Tech Stack
Tools & technologiesCloudKubernetesPython
About the role
Key responsibilities & impact- Partner with the founding Account Executive as the named technical owner on every active North American opportunity
- Run technical discovery covering models, workloads, latency and throughput targets, 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 for performance, reliability, cost modeling, security, and data handling
- Lead architecture reviews, live demos, and working-code sessions tailored to buyers' stacks
- 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
- Build demo apps, notebooks, reference architectures, integration guides, and internal enablement
- Represent Featherless technically at conferences, meetups, and developer events
- Keep POC and technical-stage details current in HubSpot
Requirements
What you’ll need- 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, major open-weight model families, and model evaluation
- Comfortable with containers, Kubernetes, and cloud networking and security fundamentals
- Ability to communicate credibly with ML engineers and CTOs
- Strong written communication for benchmark writeups and architecture documentation
- Entrepreneurial and self-directed
- Heavy use of AI tools for research, prototyping, and workflow acceleration
- Nice to have: AMD GPUs / ROCm, enterprise security and compliance review, open-source contributions or public technical writing, or experience as the first technical hire on a GTM team
- Legally authorized to work in the required location without employer visa sponsorship
Benefits
Comp & perks- Competitive base salary plus variable compensation tied to the team's number
- Equity
- Direct collaboration with the founding AE, CRO, and founders
- Immediate impact in a small team with no layers
- Access to 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