Account Executive -at Prior Labs

Job Title

Account Executive

$200k-$300k OTE

Prior Labs GmbH is a frontier AI lab building foundation models for structured data, backed by a €1B+ commitment from SAP while maintaining independent operations and a world-class team from Deep Mind and Palantir.

As the founding Account Executive at Prior Labs GmbH, you will drive commercial adoption of state‑of‑the‑art foundation models for structured data. Working alongside researchers from Deep Mind and Amazon, you’ll own the full sales cycle from outbound discovery to closing, while building the foundational sales playbook for all future commercial hires at the firm.

New York, USA

• Join as the first AE at a frontier AI lab whose core research has been published in Nature and seen over 3 million model downloads to date.
• Exceptional financial backing with a €1B+ commitment from SAP, providing the stability of a massive enterprise with the speed and autonomy of a startup.
• Work directly with a high‑pedigree team of researchers and operators from Deep Mind, Palantir, Jane Street, and Amazon in a true founding capacity.

• Drive the end‑to‑end sales cycle for enterprise and mid‑market accounts, focusing on technical outreach and discovery with data scientists and ML engineers.
• Execute high‑velocity outbound campaigns across email, Linked In, and technical communities to build a robust pipeline and identify high‑potential opportunities from scratch.
• Develop the company's first sales playbook, including qualification criteria, demo structures, and objection handling strategies that will define the firm's future commercial scaling.

• 3+ years of experience in a full‑cycle AE role at a data infrastructure, ML tooling, developer tools, or deep tech company.
• Proven track record of closing complex enterprise and mid‑market deals with technical buyers, specifically data scientists, ML engineers, or engineering leadership.
• Strong technical literacy with the ability to hold credible, deep‑dive conversations about machine learning workflows and foundation models with expert‑level technical teams.