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Protege Tech Stack
Marketplace platform connecting data holders with AI training data buyers
Protege operates a two-sided marketplace designed to reduce friction in AI training data sourcing. The stack (Python, SQL, Snowflake, Databricks, cloud infrastructure across AWS/GCP/Azure) supports data ingestion and validation workflows. Hiring is balanced across data (5), sales (5), and product (4) with senior/lead-heavy seniority mix—reflecting a sales-led go-to-market phase combined with data ops maturity. Active projects signal expansion into healthcare verticals and partnership integrations, while pain points center on the operational cost and timeline of data deals.
Tech Stack 13 technologies
Core StackPython AWS Snowflake Apache Spark TypeScript HubSpot Salesforce Databricks Java SQL GCP Azure Protégé
What Protege Is Building
◆Challenges
- Time intensive data acquisition
- Time intensive process
- Expensive data acquisition
- Expensive process
- Process failure
- High failure rate
- High cost process
- Low success rate
- Expanding licensing business
- Grow network of content owners
▲Active Projects
- Source cutting edge healthcare data
- Healthcare delivery slas
- End-to-end program management
- Solution architecture and deal design
- New vertical launch
- Early partnership development
- Content visibility/searchability
- Integration projects with external partners
- Gtm tech stack management
- Dashboards and insights delivery
Hiring Activity
Steady20 roles · 7 in 30d
Department
Seniority
Notable leadership hires: Head of Product Success, Data Solutions Lead
Company intelligence
