Booking.com

Senior Product Manager - Machine Learning

Remote Amsterdam, Netherlands
Machine Learning
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Description

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 one makes. The journeys one takes. The sights one sees. And the food one samples. Through our products, partners and people, we are making it easy for everyone to experience the world..

About the team

Booking relies heavily on machine learning to personalise the experience of travellers and partners. Machine Learning Platform (MLP) track is about making it easy for product teams to build and use AI/ML at Booking. At Feedback Loops team, part of MLP track, you are at the epicentre of this by building state of the art machine learning algorithms to bootstrap ranking, recommendation and personalisation models. You are also responsible for building and maintaining the platform that models run on. The team is focused on changing the way ML is done at Booking by leading and advocating for online learning, as well as helping teams build customised models for their specific use cases. The team works quite closely with other product and ML teams powering personalisation at Booking, as well as teams building any sort of ranking and recommendation models to achieve this in close collaboration with them. 

What you’ll be doing 

  • Define and drive the vision and strategy for adaptive learning algorithms and models across various products, ensuring alignment with broad strategy at company and business unit level.
  • Lead cross functional team composed of machine learning scientists and engineers to develop and implement algorithms, models and platform that are performant and contributing to top level metrics of the company (conversion, engagement etc). 
  • Work with experts in the domain to design and implement state of the art ML algorithms in the learn-to-rank space (using techniques like but not limited to Online Learning, Continuous Learning, Multi-armed Bandits, Causal Modelling, Constrained Optimization)
  • Act as a key point of contact for all stakeholder communications related to adaptive learning algorithms and its use cases and communicating product performance, progress and insights with senior leadership
  • Define operating models and ways of working between the team and different product teams across the company, and influence experience and platform product teams to increase the adoption and impact these algorithms and platforms bring forth.

What you’ll bring

  • At least 4 years of experience in building products at a product company as a Product Manager is a MUST
  • Proven track record of developing and launching ML models, preferably in the ranking/recommendation space, is required
  • Excellent communication and influencing skills across different levels of the organisation including senior management is required
  • Demonstrated experience in identifying and navigating complex stakeholder management scenarios across the organisation is required
  • Bachelors or Masters degree in Computer Science or related field is preferred.
  • Data fluency and experience with online experimentation is preferred
  • Curiosity and High Agency are a heavy plus

In return, we’ll provide

Benefits & Perks: Global Impact, Personal Relevance

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. Our Total Rewards strive to make it easier to experience all that life has to offer on your terms so that you can focus on what really matters. We offer competitive compensation as well as thoughtful, valuable, and even fun benefits which include:

#ThinkInclusion: Wellbeing & Inclusion at Booking.com:

Inclusion, Diversity, Belonging, Wellbeing and Volunteering (IDBWV) 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 create an outstanding workplace, it also builds 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 a mark and have a real impact in travel and tech.”

We will ensure that individuals with disabilities are provided reasonable adjustment to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

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.

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