Founding Account Executive (AI Cloud)

Posted 59 Minutes Ago
Be an Early Applicant
20 Locations
In-Office or Remote
Mid level
Artificial Intelligence • Information Technology • Software
The Role
Full-cycle AE responsible for sourcing, qualifying, negotiating, and closing mid-market and enterprise AI cloud deals. Build technical relationships with CTOs and ML engineers, run demos, craft proposals, manage CRM (HubSpot), and help define GTM and expansion motions while mentoring BDRs.
Summary Generated by Built In
About Featherless

Featherless.ai is building the world's most reliable open-model inference platform — a serverless foundation for deploying and scaling AI without infrastructure overhead.

Backed by AMD, Airbus Ventures, 500 Global, Kickstart Ventures, HF0 Residency, Panache Ventures, and Oakseed Ventures, we're a well-funded team of researchers and engineers on a mission to democratize AI through performance and accessibility.

Our cloud provides instant access to 40,000+ open-source AI models and the research innovations powering next-generation efficiency, reliability, and model optimization.


About the Role

We're looking for an experienced Account Executive (AI Cloud) — someone who owns deals end-to-end, builds lasting relationships with technical buyers, and thrives in the early-stage chaos of a fast-moving AI company.

This is a full-cycle sales role. You'll carry quota, close enterprise and scale-up deals, and help shape the commercial motion at a company that's redefining how AI teams deploy open-source models. You'll work directly with the CRO and founders, engage deeply with developers, ML engineers, and CTOs, and play a central role in building a repeatable GTM engine.

If you're a self-starter who loves technical sales, enjoys working at the frontier of AI infrastructure, and wants outsized impact and ownership at a Series A company — this is for you.


What You'll Own Immediately
  • Build and close a pipeline of scale-up and high-growth startup accounts

  • Own deals from first contact through signed contract — discovery, demo, proposal, negotiation, close

  • Build and maintain executive-level relationships with CTOs, ML leads, and infrastructure decision-makers

  • Work with the CRO to refine acquisition and expansion playbooks

  • Partner with BDR and DevRel on pipeline generation

  • Maintain CRM rigor and deliver accurate forecasting and pipeline reporting

  • Represent Featherless at industry events and conferences to generate and advance deals


Core Responsibilities
  • Run full-cycle sales across mid-market and enterprise segments

  • Lead high-quality discovery and technical demo calls tailored to each buyer's stack and use case

  • Develop custom proposals and business cases that connect model inference needs to Featherless capabilities

  • Negotiate and close complex, multi-stakeholder deals

  • Expand revenue within existing accounts — identify upsell and cross-sell opportunities

  • Use AI tools extensively to automate research, outreach personalization, and workflow efficiency

  • Maintain clean CRM hygiene in HubSpot — all activity logged, pipeline stages accurate

  • Collaborate with product and engineering to share feedback from the field

  • Mentor BDRs and help define what great pipeline looks like


What You Bring
  • 3–6 years in a closing role in Cloud Infrastructure, MLOps, or AI/developer tooling

  • Proven track record closing deals with technical buyers (developers, ML engineers, CTOs)

  • Comfortable navigating multi-stakeholder enterprise sales cycles

  • Strong written and verbal communication — concise, credible, technically literate

  • Entrepreneurial and self-driven — you build your own process and don't wait for a playbook

  • Disciplined forecaster with clean CRM habits and a data-driven approach to pipeline management

  • Familiar with HubSpot, Clay, Claude/ChatGPT or equivalent tools


Why Featherless
  • Build out the AE function at a company growing in one of the fastest-moving spaces in AI

  • Work directly with the CRO — your wins shape the company's trajectory

  • Be part of a small, high-performing team making open weight AI accessible to everyone

  • Competitive base + commission

Skills Required

  • 3-6 years in a closing role in Cloud Infrastructure, MLOps, or AI/developer tooling
  • Proven track record closing deals with technical buyers (developers, ML engineers, CTOs)
  • Comfortable navigating multi-stakeholder enterprise sales cycles
  • Strong written and verbal communication; technically literate
  • Disciplined forecaster with clean CRM habits and data-driven pipeline management
  • Familiarity with HubSpot, Clay, and AI assistants (Claude/ChatGPT) or equivalents
  • Entrepreneurial, self-driven mindset and ability to build processes
Am I A Good Fit?
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The Company
HQ: San Francisco, California
20 Employees
Year Founded: 2023

What We Do

We enable serverless inference via our GPU orchestration and model load-balancing system. We unlock fine-tuning by enabling organizations to size their server fleet to throughput needs, not number of models in the catalogue. See it in action on our public cloud, which offers inference for 10k+ open weight models.

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