1 day ago

Product Manager - AI in Finance

Booking.com

Amsterdam

1 day ago

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Booking.com seeks a Product Manager for AI-native finance products, focusing on Natural Intelligence—a natural language interface over financial data. The role involves defining strategy, driving discovery, and authoring precise specifications for AI systems. Requires strong technical understanding of AI/ML, finance domain expertise, and experience shipping production AI products.

AIHybridFull-timeSeniorAI-native Product DevelopmentSpec-driven Product Development

Product Manager - AI in Finance

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AIHybridFull-timeSeniorAI-native Product Development

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid: working flexible arrangements, up to 20 days per year working from abroad

Employment Type

Full-time

Experience Level

proven track record, strong communication, solid technical understanding, demonstrated experience

Core Qualifications

Technical (Must-have)

AI-native product developmentSpec-driven product developmentAI/ML systemsLLMsAgent orchestrationEnterprise data platformsFinance platformsERP systemsReconciliationForecasting cyclesCompliance (SOx, audit trails)Data analyticsAgile deliveryProduct managementStakeholder management

Soft Skills

CommunicationStakeholder managementSimplify complexityEntrepreneurial spiritLeadership

Key Responsibilities

•Own the strategy and roadmap for Natural Intelligence and Autonomous Finance, ensuring alignment with Finance leadership priorities and Booking Holdings' AI strategy
•Define Product success metrics that measure real operational outcomes and be accountable for outcomes, not output
•Drive discovery as the highest-value activity: spend significant time with finance SMEs understanding the real process, data, and edge cases
•Design individual agents and NLQ capabilities while identifying reusable platform infrastructure (escalation framework, shadow mode pattern, monitoring, agent registry, governance model)
•Author high-fidelity intent artefacts: specifications precise enough for AI agents and engineering teams to execute against
•Co-author with engineering: iterate on specs with Data Engineers and Engineers until the solution is right
•Partner with stakeholders across Finance (CFO office, Operations, FP&A, O2C, Procurement), Central Tech (ML Platform), and Data Engineering to understand needs, prioritise, and manage expectations
•Translate complex finance domain challenges into clear product requirements, leveraging AI and automation to scale human productivity across finance
•Communicate progress, risks, and roadmaps to senior stakeholders and cross-functional teams with clarity and confidence
•Collaborate with other product teams across Booking to align on shared infrastructure, platform decisions, and execution priorities
•Leverage data analytics and experimentation to inform product decisions: test agent accuracy, evaluate user adoption patterns, and continuously optimize

Product ManagerAIFinanceFinTechNatural Language InterfaceAutonomous FinanceLLMAgent OrchestrationData EngineeringHybrid

Core Qualifications

Technical (Must-have)

Soft Skills

CommunicationStakeholder managementSimplify complexityEntrepreneurial spiritLeadership

Key Responsibilities

•Own the strategy and roadmap for Natural Intelligence and Autonomous Finance, ensuring alignment with Finance leadership priorities and Booking Holdings' AI strategy

•Define Product success metrics that measure real operational outcomes and be accountable for outcomes, not output

•Drive discovery as the highest-value activity: spend significant time with finance SMEs understanding the real process, data, and edge cases

•Design individual agents and NLQ capabilities while identifying reusable platform infrastructure (escalation framework, shadow mode pattern, monitoring, agent registry, governance model)

•Author high-fidelity intent artefacts: specifications precise enough for AI agents and engineering teams to execute against

•Co-author with engineering: iterate on specs with Data Engineers and Engineers until the solution is right

•Partner with stakeholders across Finance (CFO office, Operations, FP&A, O2C, Procurement), Central Tech (ML Platform), and Data Engineering to understand needs, prioritise, and manage expectations

•Translate complex finance domain challenges into clear product requirements, leveraging AI and automation to scale human productivity across finance

•Communicate progress, risks, and roadmaps to senior stakeholders and cross-functional teams with clarity and confidence

•Collaborate with other product teams across Booking to align on shared infrastructure, platform decisions, and execution priorities

•Leverage data analytics and experimentation to inform product decisions: test agent accuracy, evaluate user adoption patterns, and continuously optimize