The posting
About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.
About our team:
The Payment Fraud capability is dedicated to safeguarding Booking.com's platform by building and deploying end-to-end AI and Machine Learning solutions. We focus on developing robust models for detection, prevention, and proactive intervention against various payment space threats, leveraging data, classical and advanced Deep Learning techniques to create a secure environment for our users. Our work directly contributes to maintaining user trust and platform integrity.
Role overview:
As a Product Manager for Payment Fraud Flights, you are responsible for products and services that help protect us from payment fraud that could lead to financial and regulatory damages to our business. You will own the strategic product vision and roadmap to deliver data-driven solutions that mitigate payment fraud risks related to the Flights business. This will range from setting up and managing fraud controls that prevent, detect and respond to incidents caused by unauthorized card-not-present transactions. You will own fraud KPIs and ongoing business metrics that are reported to leadership.
In this role, you will work closely with other product managers, operations analysts, engineering managers, and your team of engineers and machine learning scientists. You will define the product vision and strategy, while establishing clear objectives and success metrics that empowers your team to build optimal products. You will work closely with cross-functional stakeholders across business, payments, legal and product, articulating the potential fraud risks and its adverse impact to the business, and work on agreed solutions that mitigate these risks. You will also regularly interact with leadership to explain how your product strategy drives progress towards the strategic priorities of the company.
Key Job Responsibilities and Duties:
- Own the vision and strategy of the Payment Fraud Flights in Booking.com, inspire the ML, Engineering and Operations team to achieve the vision
- Establish clear objectives and success metrics that empowers their team to build best-in-class machine learning models for payment fraud prevention, detection and recovery
- Driving the product backlog and prioritizing ruthlessly for a team of engineers and machine learning scientists
- Demonstrate your powerful problem-solving skills by structuring issues and analyzing alternative scalable solutions
- Assessing new business initiatives and evaluating their associated threats and fraud risks that might affect the safe launch and scaling
- Working with a diverse set of stakeholders across the business to assess the potential risks and their adverse impact to the business, and work on agreed solutions that mitigate these risks
- Challenging the status quo of our current solutions and driving resolution through collaboration, influence, and innovation (minimize friction; maximize impact)
- Staying up-to-date on the third-party solution ecosystem and aligning with the fraud technology landscape
Role Qualifications and Requirements:
- 3+ years experience as a (technical) Product Manager / Owner
- Experience working with teams of machine learning scientists and engineers
- Experience using data to make informed decisions and the ability to formulate and interpret meaningful business metrics
- Experience managing a large scope
- Experience in the payments or FinTech space, with an emphasis on fraud prevention, detection and/or recovery
- Experience with working in an Agile/Scrum team
- Experience working on Machine learning products is a plus
- Experience with designing, building, and launching new products at scale is a plus
Nice-to-Have Skills:
- You demonstrate strong product expertise, ideally with experience in Fraud, Risk or Trust & Safety, and designing, building, and launching new products (preferably involving machine learning) at scale.
- You are a team player with a bottom-up approach to developing a proof-of-concept and iterating to convert them into impactful products.
- You are good at managing different stakeholders and establishing effective feedback loops for fast iteration.
- You are creative and always ready to adjust your strategy based on the evolution of threats, new technology, and business strategy.
Benefits & Perks - Global Impact, Personal Relevance:
Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:
- Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
- Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
- Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit
Diversity, Equity and Inclusion (DEI) at Booking.com:
Diversity, Equity & Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.
Take it from our Chief People Officer, Paulo Pisano: “At Booking.com, the diversity of our people doesn’t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It’s a place where you can make your mark and have a real impact in travel and tech.”
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.
Application Process:
This role does not come with relocation assistance.
- Application and CV Review
- Recruitment Phone Screen
- Business Interview 1
- Business Interview 2
- FIT Interview
- Hiring Decision
Let’s go places together: How we Hire
Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.
Pre-Employment Screening
If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.
