Lead the Intelligent Acceptance portfolio, improving merchant profit by increasing payment acceptance and reducing costs while managing fraud risk. Shape AI- and ML-powered optimization products across the payment lifecycle, including acceptance, routing, recovery and cost.
Responsibilities
- Set a multi-year vision, shared strategy, roadmap and product principles for merchant payment optimization.
- Balance acceptance, payment costs and fraud risk; identify opportunities based on merchant needs, measurable value and strategic fit.
- Define portfolio measurement, build experimentation and causal measurement into product development, and own product economics, investment cases and adoption strategy.
- Partner with Commercial, Finance, Product Marketing and Customer Success to communicate value and launch capabilities.
- Co-own the Data Science roadmap and outcome metrics; guide investment in data and model capabilities and ensure explainability, monitoring and safe rollout.
- Lead, coach and develop Product Managers and align teams across Engineering, Data Science, Analytics and Design.
Requirements
- Deep experience in payment optimization, including acquiring, authorization performance, routing and payment economics.
- Track record of setting strategy and delivering outcomes across related products or teams, and of leading and developing Product Managers.
- Strong quantitative judgment and experience with experimentation, measurement and financial analysis.
- Credibility with Engineering and Data Science teams working on decisioning or optimization products.
- Commercial judgment and clear communication with merchants, teams and senior executives.
Experience with ML-driven decisioning, fraud scoring, causal inference, multi-armed bandits, card-network economics, or pricing and packaging is valuable but not required.
Work arrangement: Hybrid, based in London or Amsterdam, with three days per week in the office.