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Featherless AI

Serverless infrastructure for open-source AI inference

Chief of Staff

Business OperationsConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 5 years of experience in a high-ownership, fast-moving environment such as startup operations, strategy consulting, banking, or a similar setting.
  • Enough technical fluency to participate in engineering syncs and customer calls and understand how inference and model-serving products work.
  • A track record of turning undefined problems into plans and driving them to completion with minimal hand-holding.
  • Strong written and verbal communication skills.
  • The ability to represent the CEO's intent accurately in meetings the CEO does not attend.
  • Comfort adapting as the role changes with company growth.

Responsibilities

  • Manage vendor contracts and renewals, finance and operations logistics, and recruiting-process administration, including pipeline tracking, interview loops, and offer logistics.
  • Coordinate across engineering, sales, and product to resolve priority misalignment and improve communication.
  • Establish the company's operating cadence, including leadership meetings, action-item tracking, and decision follow-through as the company grows.
  • Own high-priority special projects that do not yet have a clear owner.

About the Company

Featherless AI

Serverless infrastructure for open-source AI inference

Featherless AI builds neutral, serverless infrastructure for open-source AI. Its platform handles inference, model and workflow optimization so teams can run tens of thousands of open models without being tied to hyperscalers. The product works by providing serverless inference and optimized runtimes for open-source models (including RWKV) through its Recursal lineage, aiming for a scalable, vendor-free AI stack. It differentiates itself by offering a neutral, open framework that minimizes lock-in, supports broad hardware (e.g., AMD ROCm), and fosters an open-source agent/runtime ecosystem, rather than relying on proprietary cloud constraints. The company’s goal is to widen access to open-source AI at scale, reduce inference costs, and expand its global footprint and ecosystem through partnerships and continued development of its open-model infrastructure.

Company size
11-50
Company stage
Series A
Total funding
$25M
Headquarters
San Francisco, CA
Founded
2023

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