Role description
This role is based in Amsterdam
At Booking.com we are proud of the way we use data and experimentation to drive better product decisions. Over the last 20 years, we have continuously invested in building the best possible experimentation platform to enable our colleagues throughout the company to make the best possible decisions for our customers, partners and our business.
Key Job Responsibilities and Duties
Refine and own the long-term vision and strategy of the team and its products.
Define and monitor key critical metrics for your products.
Empower and collaborate with your cross-functional team to unlock their full potential and improve their impact.
Work with your team on identifying and understanding the needs of your users and the business.
Collaborate and align with your engineering counterpart on the technical roadmap.
Prioritize the team backlog to better address the needs of your users and the business.
Liaise with stakeholders across the organization to ensure good performance of our products.
Work closely with the engineering team to build and operate the product.
Engage other product managers within the department and Booking.com to define development priorities for the product.
Role Qualifications and Requirements
A minimum of 3 years of experience in a Product Manager role in a product or e-commerce environment
Prior experience in a data product (E.g. Experimentation Platform, Metrics Platform, ML Product) is strongly preferred.
Foundational knowledge of A/B testing and other experimentation is required
Ability to communicate effectively with technical stakeholders (Engineers, Data Engineers, Data Scientists) as well as with the users of the platform.
Team player with a bottom-up ideation process. Ability to see the big picture, without losing sight of the product details.
An analytical orientation and strong problem-solving skills demonstrated by the ability to structure issues and analyze alternative solutions.
Proven experience understanding and formulating meaningful business metrics.
Familiarity with the challenges and best practices for scaling data infrastructure in a fast-paced environment.
Familiarity with tracking libraries and technologies for event collection.
Familiarity with data governance principles, including data privacy and compliance.
Experience with exploring data, validating assumptions and understanding how data moves through systems.
: Global Impact, Personal Relevance
Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave
Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country)
A beautiful sustainable , that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office
Commuting allowance and bike reimbursement scheme
Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers
Free access to online learning platforms, development and mentorship programs
Global Employee Assistance Program, free Headspace membership
Career Development Opportunities
Bi-annual performance conversations, company-wide mentoring program, and internal development opportunities
Unlimited access to online learning platforms: Udemy, Coursera, LinkedIn learning, O'reilly
Application Process
The interview process will entail a total of 4 interviews, all conducted via Zoom video conferencing.
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.
