Checkout.com
Group Product Manager, Acceptance Rates
1 нед. назад
ВеликобританияНидерландыSeniorHybridC1
aimlpayment optimizationexperimentationfinancial analysisfraud scoringcausal inference
Group Product Manager role to lead and scale AI/ML-powered payment optimization products at Checkout.com, focusing on improving merchant profit via acceptance rates and cost reduction.
About the company
- Checkout.com provides a cloud platform for accepting and processing online payments for large businesses worldwide.
- They enable over 10 billion transactions yearly for more than one billion global shoppers.
- Clients include eBay, Spotify, Klarna, Uber and Sony.
- The company has 20 offices across six continents with HQ in London and is a leader shaping the future of fintech.
About the product
- Payment Performance pillar builds intelligence to help merchants get more value from every payment.
- Focus on Intelligent Acceptance to increase scale, breadth and merchant value of payment acceptance optimizations.
- Suite of AI- and ML-powered products making smarter optimization decisions across payment lifecycle including acceptance, routing, recovery and cost.
- Future direction includes merchant-configurable optimization enabling merchants to set their own objectives and constraints.
Responsibilities
- Create and communicate a multi-year vision for merchant payment optimization.
- Bring portfolio together with a shared strategy, roadmap and product principles.
- Balance acceptance, payment cost and fraud risk at payment and merchant levels.
- Identify optimization opportunities based on merchant needs, measurable value and strategic fit.
- Define how to measure incremental merchant value across the portfolio.
- Incorporate experimentation and causal measurement into product development, launch and improvement.
- Own portfolio product economics including investment cases, adoption strategy, packaging and pricing.
- Partner with Commercial, Finance, Product Marketing and Customer Success to communicate value and bring new capabilities to market.
- Co-own Data Science roadmap and outcome metrics with Data Science leadership.
- Ensure product trade-offs and problem selection align with Data Science methods and model quality.
- Invest in data and model capabilities that impact merchant outcomes.
- Set standards for explainability, monitoring and safe rollout in high-volume environments.
- Lead, coach and develop Product Managers across the optimization suite.
- Set clear ownership, goals and decision rights for teams with a strong shared purpose.
- Create effective operating model with Engineering, Data Science, Analytics and Design.
- Align teams and senior stakeholders around evidence-based priorities, investments and trade-offs.
Requirements
- Deep experience in payment optimization including acquiring, authorization performance, routing and payment economics.
- Track record of strategy setting and delivering outcomes across multiple products/teams.
- Proven success leading and developing Product Managers.
- Ability to bring clarity and structure to complex and ambiguous problem spaces.
- Strong quantitative judgment, experience with experimentation, measurement and financial analysis for decision making.
- Credibility with Engineering and Data Science teams working on decisioning or optimization products.
- Commercial judgment linking technical capabilities to merchant value, adoption and sustainable outcomes.
- Clear, persuasive communication with merchants, teams and executives.
Nice to have
- Experience building ML-driven decisioning, routing or personalization products at scale.
- Knowledge of fraud scoring, risk controls and trade-offs between fraud exposure and payment performance.
- Experience with causal inference, multi-armed bandits or other adaptive optimization approaches.
Conditions
- Hybrid work format based in London, UK and Amsterdam, Netherlands.