
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.
November 12

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.
• Lead product development for core offerings, which could encompass data products & complementary services, data pipelines, data tools, API/integration surfaces, vendor partnerships, and more. • Drive product roadmap: define opportunities, prioritize initiatives, validate hypotheses, and align stakeholders (engineering, ops, data lab group, go-to-market). • Collaborate closely with engineering and data teams: write PRDs, user stories, acceptance criteria, and drive delivery. • Partner cross-functionally with operations to translate manual processes into product automation and scalable workflows. • Define metrics and success criteria: lead experimentation, analyze results, iterate. • Deeply understand users: run user research, interviews, co-innovate with early customers (both data providers and data consumers). • As a founding member: contribute to product culture, hiring, and process definition.
• 4+ years of B2B product management experience in the healthcare industry. • Product management experience in an early-stage startup. • Experience PMing data-processing products/solutions. • Execution bias: you don’t just write specs — you push features to production and iterate based on feedback. • Skilled at working with ambiguous problems: you can frame issues, break them into hypotheses, run experiments, and make tradeoffs. • Data and analytical skills: comfortable analyzing metrics and framing and navigating tradeoffs based on data. • Empathy for users: you’ve done many user interviews and know how to incorporate qualitative feedback into product decisions. • Excellent communication skills: able to rally engineers, operations, and business stakeholders around product decisions. • Comfortable with early-stage constraints: limited resources, shifting priorities, wearing multiple hats. • Bonus if you have these attributes: Experience with healthcare data, especially EHR/EMR data, imaging, or other unstructured modalities. • Bonus if you have these attributes: Experience building an AI model. • Bonus if you have these attributes: Familiarity with experimentation frameworks. • Bonus if you have these attributes: Experience in scaling product from seed / prototype phase to enterprise adoption.
• Build products and help grow the product team at a company on a trajectory to support the entire AI market. • Collaborate with exceptional engineers, data scientists, and partners across the AI ecosystem. • Solve complex technical challenges around making AI-ready data accessible that directly impact the future of AI.
Apply NowNovember 11
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