Founding Sales Engineer

Featherless AI

. Partner with the founding Account Executive as the named technical owner on North American opportunities .

Posted 9/15/2026full-timeRemote • United StatesMid-LevelSenior💰 $150,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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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 Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Technical DiscoveryProof of Concept ExecutionBenchmark AnalysisModel EvaluationTechnical Documentation

Soft Skills

Strong Written CommunicationEntrepreneurial MindsetSelf-Directed

Tools & Technologies

Hugging FaceKubernetesAI ToolsOpenAI-Compatible APIsTensorRT-LLM

Industry Keywords

GPU CloudMLOps PlatformAI/Developer ToolingCloud NetworkingEnterprise Security

Tech Stack

Tools & technologies

CloudKubernetesPython

About the role

Key responsibilities & impact

Partner with the founding Account Executive as the named technical owner on 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 for performance, reliability, cost, security, and data handling
Provide technical input to product and engineering
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 defined technical success criteria
Write technical sections of proposals, RFP responses, and security questionnaires
Support onboarding and initial production workloads, then hand off for expansion
Feed structured field input to product and engineering
Build demo apps, notebooks, reference architectures, integration guides, and internal enablement
Represent Featherless at conferences, meetups, and developer events
Maintain POC and technical-stage details 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, and KV cache behavior
Practical familiarity with the open-model ecosystem, Hugging Face, major open-weight families, and model evaluation
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 documentation
Entrepreneurial and self-directed
Heavy use of AI tools for research and prototyping
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 job’s required location without employer visa sponsorship

Benefits

Comp & perks

Competitive base plus variable tied to the team's number
Equity
Work directly with the CRO and founders
Small team with no layers and immediate impact
Access to real technical depth, including 40,000+ open models and an in-house research team
Opportunity to build the sales engineering function at a fast-moving AI company