Account Executive (AE)

Prior Labs•New York City, NY

1d•Onsite

About The Position

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. This role combines a strong outbound focus with the potential for end-to-end deal ownership. You'll spend most of your time on outreach and discovery with technical buyers (data scientists, ML engineers, technical leaders), while also navigating buying committees, developing proposals, and closing deals. You'll help create the materials and messaging that make our outbound motion successful while driving revenue outcomes. We're looking for someone who loves the craft of outbound and wants to build the engine, not just close deals.

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 Haves

hands-on experience with data science or ML workflows, or background selling to ML platform teams

Responsibilities

Outbound and Pipeline Generation
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
Sales Cycle Ownership
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
Technical Engagement
Understand our 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
Building the Motion
Help define qualification criteria, outbound sequences, demo structure, and objection handling - the playbook you help write is what we hire against next
Bring field intelligence back to the team on objections, positioning, and what customers actually care about