Protege

Partnerships Business Development Representative

Remote, United StatesRemoteFull timePosted 10 days ago
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Company Overview

We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data.

Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI — and in tech.

We’re a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI.

The Role

We are hiring a Partnerships BDR to build and continuously refresh a qualified pipeline of new healthcare data partners.

This role is responsible for making sourcing an always-on function. You will identify organizations that hold valuable healthcare datasets, including partners who may not yet realize their data can be commercialized, and help expand Protege's reach across modalities, channels, and partner types. This is not a strictly source-and-contact BDR role –– the work carries strategic impact in how we view, segment, and prioritize prospective partners.

You will sit at the front end of the healthcare partnership lifecycle, pairing tightly with Alex, Marketing, and Data Lab to map the market, run disciplined outbound and triage inbounds, qualify early fit, and hand off strong opportunities into deeper qualification and activation.

What You'll Do

  • Build and maintain a targeted pipeline of prospective healthcare data partners across key modalities and market segments.
  • Map the market to identify data holders, strategic contacts, channel partners, brokers, and other high-leverage sourcing paths.
  • Support the development of a segmentation and prioritization framework f...