Founding Account Executive, AI Cloud Growth

Featherless AI; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive base + commission

Job summary

Featherless AI is seeking an experienced Account Executive (AI Cloud) to own deals end-to-end, build lasting relationships with technical buyers, and thrive in a fast-moving early-stage AI company. You will carry quota, close enterprise and scale-up deals, and help shape the commercial motion alongside the CRO and founders.

You'll engage with developers, ML engineers, and CTOs, shaping a repeatable GTM engine while collaborating with product and engineering for field feedback.

Qualifications

• 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.

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 to automate research, outreach personalization, and workflow efficiency.
• Maintain CRM hygiene in HubSpot — all activity logged, pipeline stages accurate.

Skills

Closing deals

Enterprise sales

Cloud infrastructure

MLOps

Technical buyer engagement

Tools

HubSpot

ChatGPT/Claude

Job description

Featherless AI is seeking an experienced Account Executive (AI Cloud) to own deals end-to-end, build lasting relationships with technical buyers, and thrive in a fast-moving early-stage AI company. You will carry quota, close enterprise and scale-up deals, and help shape the commercial motion alongside the CRO and founders.

You'll engage with developers, ML engineers, and CTOs, shaping a repeatable GTM engine while collaborating with product and engineering for field feedback.