Solidgate
201 - 500 employees
💳 Fintech
☁️ SaaS
🔌 API
Fintech • SaaS • API
Solidgate is a fintech SaaS platform that provides payment orchestration and global payment infrastructure for merchants and businesses. It offers hosted payment pages and APIs, intelligent routing, connectors to dozens of payment providers and alternative payment methods, acquiring, billing and subscription engines, antifraud and chargeback representment tools, and treasury/business accounts to move and receive funds. Solidgate focuses on helping businesses launch and scale global commerce with enterprise-grade security, multi-region availability, and developer-friendly integrations.
Head of Machine Learning
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Solidgate
201 - 500 employees
💳 Fintech
☁️ SaaS
🔌 API
Fintech • SaaS • API
Solidgate is a fintech SaaS platform that provides payment orchestration and global payment infrastructure for merchants and businesses. It offers hosted payment pages and APIs, intelligent routing, connectors to dozens of payment providers and alternative payment methods, acquiring, billing and subscription engines, antifraud and chargeback representment tools, and treasury/business accounts to move and receive funds. Solidgate focuses on helping businesses launch and scale global commerce with enterprise-grade security, multi-region availability, and developer-friendly integrations.
📋 Description
• The vision, architecture, and roadmap for ML/AI at Solidgate — a true greenfield direction, not a maintenance handover • Building and leading the team, combining new hires with engineers who already carry a deep payments context • A real-time ML decisioning system with direct revenue impact • A recommendation engine and other ML-driven features that lift merchant conversion and revenue • Integrations of cutting-edge AI technologies to drive innovation • Partnership with Product, Engineering, and the Data Platform team (who handle ML Ops) to solve hard modelling problems and build orchestrated training and analytics pipelines • Clear communication of complex results to audiences from engineers to executives
🎯 Requirements
• 5+ years in ML • Proven experience building and scaling an ML function — you've done founding-level work before, not just contributed to an existing one • Strong data science fundamentals, a master's or PhD in a quantitative discipline • Hands-on experience designing and running experiments, plus A/B testing and experimentation design • Feature engineering on high-cardinality transactional data • You take the lead proactively, from idea to production, and work fluently across a wide range of stakeholders
🏖️ Benefits
• 30+ days off • unlimited sick leave • free office meals • health coverage • Apple gear to keep you productive • Courses, conferences, sports, and wellness benefits — all designed for ideas, focus, and fun
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