Product Manager - Machine Learning

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 the team:

Machine Learning and AI are integral to Booking.com's mission of making it easier for everyone to experience the world. In the Marketplace Data & AI department, we’re on a mission to enable a personalized, trusted traveler and partner experience using ML and AI.

In order to achieve this mission, we build scalable platforms and systems, each one specializing in a different and unique domain - Ranking/Recommendations, Smart Value, Content Intelligence and AI Experiences.

What does the Content Intelligence track do?

The Content Intelligence track is at the forefront of AI technology at Booking.com. The teams are working with a variety of stakeholders across the Booking.com organization, in order to unlock AI powered use cases through building reusable models, agents and workflows. We support use cases like free text search, dialogs, text generation and summarization, content analysis and many more. Starting 2024, the teams have built a suite of end-to-end GenAI capabilities that are already available for Booking.com users across the world.

Role Description:

Within the Content Intelligence track, we’re hiring a Product Manager Machine Learning to lead the Agentic Modeling team. This team’s mission is to design and evolve robust agentic capabilities that enable intelligent agents to reason, act, and improve connected experience at scale. These agentic capabilities will power a wide range of partner and guest facing experiences.

As a Product Manager in this team, you will lead the strategy, long-term vision, and success definition of AI products. You’ll partner with teams all across the track and company to help realize the team’s vision and grow value for our customers and businesses.

Key Job Responsibilities and Duties:

• Own and lead the Agentic Modeling team’s vision, mission, roadmap and end to end execution while partnering closely with the team’s ML manager, ML scientists and ML engineers.
• Build and adapt the product strategy to the constantly evolving needs and constraints imposed by the business.
• Work with your engineering and ML counterparts to prioritize the team backlog, aligning day-to-day execution with user and business needs.
• Work closely with product partners across the department to deeply understand the direction of the business and the problems customers face, extract requirements, translate them into clear, actionable ML requirements and prioritize them ruthlessly.
• Define, measure and communicate the team’s success metrics, progress and impact to the business leadership in a transparent and effective way.
• Guiding and scaling new agentic capabilities from inception to launch while keeping customers at the center of everything.
• Explore and evaluate emerging technologies to stay at the forefront of innovation around agent capabilities.
  
  

Qualifications & Skills:

• At least 3 years of experience in product management roles.
• Previous experience and deep level of understanding of Machine Learning foundations and AI applications.
• Passionate about translating advanced ML research into solutions that address real customer problems.
• Proven ability to manage product roadmaps while balancing and prioritizing requirements from diverse stakeholders.
• Ability to articulate complex technical aspects as a clear and compelling narrative.
• Excellent communication and stakeholder management skills. Be able to clearly communicate with the business at all levels.
• Effective at engaging with ML engineers, data scientists, and internal users of the AI capabilities, translating technical detail into actionable goals.
• Excellent prioritization and planning skills in time critical situations while balancing customer & business needs.
• An analytical orientation and strong problem-solving skills demonstrated by the ability to structure issues and analyze alternative solutions.
• Team player with a bottom-up ideation process.
  
  

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:

• Let’s go places together: How we Hire
• This role does not come with relocation assistance.
  
  

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.