Account Executive, New York

We are hiring our first Account Executive to drive commercial adoption of our foundation models for structured data. This is a founding role — you'll shape how we sell, who we sell to, and what good looks like for every AE who joins after you. You'll own the full sales cycle across enterprise and mid-market accounts, working directly with the commercial founder and a team of ex-DeepMind, Palantir, Jane Street, Goldman Sachs and Amazon researchers and operators.

Responsibilities

Drive commercial adoption of foundation models for structured data; Own the full sales cycle across enterprise and mid-market accounts; Drive outbound outreach to high-potential accounts through email, LinkedIn, and community channels; Execute targeted campaigns and iterate based on what works; Qualify inbound leads and identify opportunities worth pursuing; Run discovery calls and product demos with data science and ML teams; Develop proposals and business cases tailored to customer needs; Navigate buying committees across technical and business stakeholders; Own opportunities from qualification through signed contract; Understand the product deeply and speak credibly with data scientists and ML engineers; Communicate technical value in a clear and compelling way; Shape tailored messages and outreach sequences for technical personas; Help define qualification criteria, outbound sequences, demo structure, and objection handling; Bring field intelligence back to the team on objections, positioning, and what customers actually care about

Requirements

3+ years in a full-cycle AE role at a data infrastructure, ML tooling, developer tools, or deep tech company; Track record closing enterprise and mid-market deals with technical buyers (data scientists, ML engineers, or engineering leadership); Strong technical literacy - comfortable holding a credible conversation with an ML team; Proven outbound execution and pipeline generation from scratch; Builder mentality - you want to figure out how to sell this, not inherit someone else's playbook

Nice to have

Hands-on experience with data science or ML workflows; Background selling to ML platform teams

Benefits

Direct line to founders; Clear path into sales leadership as the team scales; Regular company offsites