Full-Time
Founding Business Development Representative
AI Cloud
Updated on 8/1/2026
Featherless AI
11-50 employees
Cloud ML platform for GPU-free inference
No salary listed
Remote in USA + 29 more
More locations: Remote in Canada | Salt Lake City, UT, USA | Montreal, QC, Canada | Boston, MA, USA | Seattle, WA, USA | Orlando, FL, USA | Houston, TX, USA | Nashville, TN, USA | Toronto, ON, Canada | Washington, DC, USA | San Francisco, CA, USA | Austin, TX, USA | Los Angeles, CA, USA | Tampa, FL, USA | Miami, FL, USA | Dallas, TX, USA | Fairfax, VA, USA | Raleigh, NC, USA | Chicago, IL, USA | Ashburn, VA, USA | Charlotte, NC, USA | Scottsdale, AZ, USA | New York, NY, USA | Phoenix, AZ, USA | Denver, CO, USA | Ottawa, ON, Canada | Atlanta, GA, USA | Vancouver, BC, Canada | Halifax Regional Municipality, NS, Canada
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- The candidate must have 1-2 years of combined experience in sales, developer relations, or entrepreneurship.
- The candidate must be comfortable engaging technical audiences, including developers, founders, and researchers.
- The candidate must be an artificial intelligence power user.
- The candidate must have excellent written and verbal communication skills in English.
- The candidate must be entrepreneurial, self-driven, able to operate independently, and able to execute tasks effectively.
- Build and qualify pipeline across enterprises and artificial intelligence startups.
- Manage inbound requests through chat and email.
- Manage outreach sequences and automations using HubSpot, Clay, Reply.io, and n8n.
- Re-engage existing sign-ups and subscribers and identify high-value users.
- Coordinate partner calls and discovery meetings with the chief revenue officer and founders.
- Track customer relationship management data, pipeline metrics, and weekly reporting.
- Attend events to generate pipeline and establish key relationships.
- Propose creative go-to-market experiments and new partnership opportunities.
Featherless AI offers a cloud platform that optimizes the deployment and inference of machine learning models, keeping a catalog online so teams can run inferences without GPUs. It runs models across major clouds (Azure, AWS, GCP), lowering GPU costs while enabling more models to serve users. It supports models like LLaMA 3 and Mistral and uses subscription or usage-based pricing, plus features like WyvernChat and novelcrafter. The goal is to help businesses maximize ML capabilities while reducing infrastructure expenses and increasing scalability across clouds.
Company Size
11-50
Company Stage
Series A
Total Funding
$25M
Headquarters
San Francisco, California
Founded
2023
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Benefits
Remote Work Options
Company Equity