Founding Sales Engineer

Posted Yesterday
26 Locations
In-Office or Remote
150K-190K Annually
Senior level
Artificial Intelligence • Information Technology • Software
The Role
Own full-cycle technical sales for Featherless’s AI inference platform across mid-market and enterprise accounts. Responsibilities include prospecting, discovery, technical demonstrations, proposals, negotiations, closing, account expansion, forecasting, CRM management, event representation, and collaboration with product, engineering, BDR, and DevRel teams.
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.

  • 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 sales role in cloud infrastructure, MLOps, or AI/developer tooling
  • Proven track record closing deals with technical buyers such as developers, ML engineers, and CTOs
  • Experience navigating multi-stakeholder enterprise sales cycles
  • Strong written and verbal communication skills
  • Technical literacy
  • Entrepreneurial and self-driven approach
  • Disciplined forecasting and data-driven pipeline management
  • Familiarity with HubSpot, Clay, Claude, ChatGPT, or equivalent tools
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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