Account Executive, New York

Account Executive

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.

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

What You Bring

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

Why This Role Is Exciting

• First AE at a company with real research credibility, a Nature publication, and production customers with the world's largest enterprises
• Direct line to founders - you'll shape commercial strategy, not just execute it
• Genuine category creation and bringing frontier AI to industry
• Clear path into sales leadership as the team scales

Location

• This role is specifically located in our New York office

Life at Prior Labs

We're a small, ambitious team solving one of the hardest problems in AI, and we're just getting started. You'll work closely with world-class researchers and builders who care deeply about the quality of their craft, the impact of their work, and the people they work with.

We move fast, we think rigorously, and we take the time to do things right. If you're excited by hard problems, motivated by real-world impact, and want to be part of building something that matters, we'd love to hear from you.

Our Commitments

We believe the best products and teams come from a wide range of perspectives, experiences, and backgrounds. That's why we welcome applications from people of all identities and walks of life, especially anyone who's ever felt discouraged by "not checking every box."

We're committed to creating a safe, inclusive environment and providing equal opportunities regardless of gender, sexual orientation, origin, disability, or any other trait that makes you who you are.

We care about how your data is handled. Read our Recruiting Privacy Notice to see exactly what we collect, why, and how long we keep it.