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Чётко очерченная продуктовая роль в крупной travel-tech компании даёт возможность влиять на важные решения в области борьбы с мошенничеством и ML, но релокацию не оплачивают.
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Без помощи с переездомЗона ответственности яснаФокус на AI и антифродеКрупная продуктовая компания
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Product Manager - Payment Fraud, Flights (Fintech): Owns the vision, strategy, and roadmap for payment-fraud products protecting Booking.com's Flights business with an accent on fraud controls, machine learning solutions, and data-driven risk mitigation. Focus on prioritizing scalable fraud-prevention products, analyzing emerging threats, and aligning engineering, ML, operations, payments, legal, and business stakeholders.
Location: Amsterdam, Netherlands; hybrid working. Up to 20 days per year working from abroad in the home country.
Company
hirify.global develops technology and travel products that help people experience the world.
What you will do
Own the vision, strategy, roadmap, and product backlog for Payment Fraud Flights.
Define objectives, success metrics, and fraud KPIs for payment-fraud prevention, detection, and recovery.
Guide engineering, machine learning, and operations teams in building scalable fraud solutions.
Assess new business initiatives, identify payment threats and risks, and drive mitigation before launch and during scaling.
Collaborate with business, payments, legal, product, engineering, operations, and leadership stakeholders.
Track the third-party fraud-solution ecosystem and adapt products to evolving technology and threats.
Requirements
3+ years of experience as a technical Product Manager or Product Owner.
Experience working with machine learning scientists and engineers.
Experience using data to make decisions and formulating and interpreting meaningful business metrics.
Experience managing a large scope.
Experience in payments or FinTech, with an emphasis on fraud prevention, detection, and/or recovery.
Experience working in an Agile/Scrum team.
Nice to have
Experience working on machine learning products.
Experience designing, building, and launching new products at scale.
Product expertise in Fraud, Risk, or Trust & Safety.
Experience developing proof-of-concepts and iterating them into impactful products.
Strong stakeholder management and effective feedback-loop development.
Ability to adapt strategy to evolving threats, technology, and business priorities.
Culture & Benefits
Hybrid working with flexible working arrangements.
Annual paid time off and paid parent, grandparent, bereavement, and care leave.
Up to 20 days per year working from abroad in the home country.
Product discounts of up to 1400 per year, including automatic Genius Level 3 status and hirify.global wallet credit.
Inclusive workplace with adjustments and tools available for colleagues with disabilities.
No relocation assistance is provided.
Hiring process
Application and CV review followed by a recruitment phone screen.
Two business interviews and a FIT interview.
Hiring decision after the interview stages.
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