Head of Product Success – Healthcare

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November 8

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Grupo Protege

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Artificial Intelligence • B2B • SaaS

Grupo Protege is an AI training data platform that connects AI developers with high-quality, ethically sourced training data. It serves both AI developers by providing a vast and rich collection of data for model training and data holders by enabling them to monetize their data while maintaining governance and control. The platform aims to streamline the data procurement process significantly, making it easier for developers to access the data they need efficiently.

10,000+ employees

Founded 1971

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

📋 Description

• Work closely with Protege’s Head of Product & Data Labs to translate complex scientific methodologies into scalable, customer-ready workflows • Apply the 80/20 rule — knowing when a process needs perfection and when it needs to move • Identify and document best practices for multimodal data feasibility, joining, and de-identification • Manage a team of Technical Account Managers and applied data scientists • Build a culture of rigor and delivery — scientific enough to be credible, but pragmatic enough to move fast • Develop onboarding, documentation, and repeatable playbooks for healthcare data feasibility and delivery • Collaborate with the CSO, Head of Product, and Platform teams to align internal feasibility and delivery capabilities with customer use cases • Ensure Protege’s data products meet the expectations of healthcare AI builders — fit-for-purpose data, transparency, and reproducibility • Delight Protege’s customers by exceeding their expectations; being a driving force for repeat business • Design and own healthcare delivery SLAs, QA standards, and throughput metrics • Introduce tooling and process automation to scale delivery capacity • Hold the line on execution, even amid scientific ambiguity or evolving requirements • Serve as both translator and challenger to scientific leadership — ensuring innovation moves toward scalability • Represent Protege with partners and customers who are developing healthcare AI models and need data that “just works”

🎯 Requirements

• 7–10 years of experience in healthcare data, product delivery, or data science operations • Strong grasp of AI data needs — you understand how model developers think about data quality, coverage, and bias • Demonstrated success leading operationally excellent technical teams • Able to translate scientific complexity into scalable systems without losing rigor • Confident engaging with PhD-level scientists and senior executives; you can debate ideas without ego • Thrives in ambiguity, drives toward clarity, and keeps teams grounded in delivery

🏖️ Benefits

• Competitive compensation, equity, and benefits package