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Featherless AI

Serverless infrastructure for open-source AI inference

Business Development Representative - AI Cloud

Sales Development RepresentativeConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • One to three years of experience in cloud infrastructure sales or developer relations.
  • Comfort engaging with technical audiences, including developers, founders, and researchers.
  • Ability to use AI tools extensively as an AI power user.
  • Excellent written and verbal communication in English.
  • Familiarity with HubSpot, Clay, n8n, or similar tools.

Responsibilities

  • Build and qualify pipeline across enterprises and AI startups.
  • Manage inbound requests through chat and email.
  • Manage outreach sequences and automations using HubSpot, Clay, Reply.io, n8n, or similar tools.
  • Re-engage existing sign-ups and subscribers and identify high-value users.
  • Coordinate partner calls and discovery meetings with the CRO and founders.
  • Track CRM activity, pipeline metrics, and weekly reporting.
  • Attend events to generate pipeline and establish key relationships.
  • Propose creative go-to-market experiments and new partnership opportunities.

Desired Qualifications

  • Fluency in French or German.

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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