Founding Product Manager, Media

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November 12

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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

• Define, prioritize, and execute the roadmap for Protege’s media business, starting with projects in data ingestion/processing and content visibility/searchability. • Work with external partners and internal teams to understand pain points and prioritize solutions. • Translate abstract problems (e.g., “partner ingestion bottlenecks”) into actionable, measurable engineering work. • Manage backlog, tradeoffs, and stakeholder communication with precision and transparency. • Understand how AI developers use media embeddings and metadata downstream, ensuring data quality aligns with use case needs. • As a founding team member: contribute to product culture, hiring, and process definition.

🎯 Requirements

• 4–7 years of experience in product management, with at least 1-2 years of experience PM-ing data-processing solutions (ingesting, cleaning, transforming, transcoding, delivering, etc). • Product management experience in an early-stage startup. • Proven ability to work closely with engineers and data scientists to ship complex, multi-system products. • Excellent communication and cross-functional leadership skills — able to align business and technical teams around shared goals. • Structured thinker who thrives in ambiguity and is comfortable owning outcomes end-to-end. • Comfortable with early-stage constraints: limited resources, shifting priorities, wearing multiple hats. • Familiarity with media data — file formats, metadata, common delivery and storage mechanisms — or the desire and ability to become an expert quickly. • Bonus if you have these experiences: • Experience with media content management, transcoding, or machine learning pipelines. • Familiarity with tools like AWS S3, FFMPEG, TwelveLabs, or similar video AI platforms. • Exposure to retrieval, search, or embedding-based applications.

🏖️ Benefits

• 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.