Product Success, Healthcare

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.

Role Overview

As a Technical Account Manager in the Healthcare vertical, you will guide prospects and customers through the definition and delivery of healthcare datasets. Starting in pre-sales conversations, you’ll ensure the data product delivers the value the customer needs, the supporting data pipelines run smoothly, and timelines and milestones are clearly communicated from the first stages of feasibility to the final data delivery.

Key Responsibilities and Scope

• Serve as the primary point of contact for customers, building long-term strategic relationships and identifying opportunities for growth

• Lead end-to-end program management from data preparation through QA and delivery, ensuring cross-functional coordination and on-time execution

• Oversee the QA, packaging, and delivery of complex datasets (EHR, claims, radiology, pathology, unstructured text), ensuring HIPAA compliance in collaboration with privacy partners

About You

• Comfortable using SQL and querying data to analyze delivery outputs, validate clinical coverage, and support customer-specific needs

• Strong familiarity with various healthcare data modalities ranging from EHR, claims, radiology, pathology and unstructured text

• Familiarity with privacy-preserving techniques of healthcare data

• Proven customer-facing experience: skilled at managing expectations, leading customer conversations, and delivering technical outcomes with clarity and confidence

Bonus if you have these attributes

• Prior startup experience

• Experience in healthcare AI, ML products, or enterprise data platforms

• Experience translating customer feedback into actionable product requirements, influencing the product roadmap in partnership with engineering and product teams