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Alt operates a collectibles trading platform centered on sports cards, with a heavy data and ML stack (Python, Pandas, PySpark, Airflow, Dagster, scikit-learn, XGBoost, PyTorch, TensorFlow) that reflects their core business challenges: real-time pricing at scale, credit underwriting, and inventory risk. The balanced hiring mix across data, engineering, and product—weighted toward senior engineers—signals a company scaling infrastructure and pricing algorithms rather than early-stage product iteration.
Tech Stack 36 technologies
Core StackPython Pandas PySpark Apache Airflow Dagster Selenium PostgreSQL AWS React TypeScript Salesforce Stripe scikit-learn PyTorch TensorFlow MLflow Intercom Retool Slack React Native Polars Puppeteer Beautiful Soup Outreach Coinbase XGBoost LightGBM GCP Notion JavaScript/TypeScript+6 more
What Alt Is Building
◆Challenges
- Real-time pricing at scale
- Fast accurate underwriting
- Balancing cash advances with portfolio risk
- Inventory management excellence
- Modernizing storage and processing technologies
- Reducing manual interventions
- Optimizing cost, performance, reliability
- Improve portfolio outcomes
- High-scale transaction systems
- Building custom double-entry ledger
▲Active Projects
- Real-time pricing at scale
- Real-time pricing platform
- Credit decisioning engine
- Set-specific pricing tools
- Pricing methodology development
- Digitization of sports cards
- Cash advance & lending product experience
- Transaction and listing ingestion pipeline
- Monitoring and alerting system
- Portfolio performance & risk
Hiring Activity
Steady15 roles · 4 in 30d
Department
Seniority
Notable leadership hires: Product Lead
Company intelligence