Technical Product Manager

ut of the platform, supporting both target segments with foundational capabilities expected out of an enterprise grade data & ML platform. Platform products like distributed compute, compute marketplace, distributed storage, Identity and Access Management, Data Catalog & Lineage, Privacy make up the data foundations product group.

What You'll Be Doing

As a Technical Product Manager, you would have the opportunity to shape the product direction of our Privacy Platform and related services like tokenization for various data production paths. You leverage a T-shaped understanding of data services / systems in use at Booking.com and the ongoing industry developments in the distributed analytical systems space to ensure the right technology investments are being made within the Data & ML ecosystem. Your knowledge of distributed compute and storage systems, and how privacy and access control can work in unison, would help raise the bar of the secured, governed next gen enterprise data & ML platform being built at B.com

• User-focused individual who keeps the customer at the heart of everything they do, while having strong commercial awareness.

• Data-driven. Base your decisions on facts rather than opinions.

• A go-getter who isn't afraid to roll up sleeves and dives into a project to achieve success by problem solving.

• Ability to navigate ambiguity and complexity at scale within a matrixed organization.

• Customer centric -having the ability to look at the broader picture across all segments of the customers, across all markets to define and own product delivery and execution.

• Open-minded teammate with excellent communication skills.

• Agile and innovative with the tenacity to thrive in a constantly evolving environment.

• Self-motivated and results-driven with a take charge demeanor to handle the full development cycle of a product.

• Friendly, knowledgeable, and motivational to others. Open to diversity in all shapes and sizes.

What You'll Bring

Ideal candidates will have some combination of the following:

• 3+ years of hands-on experience in a Tech Product Management, Engineering or Technology Strategy role, building products / services on enterprise grade scale distributed storage and compute systems in the BigData & ML space.

• Understanding of batch and stream data processing at scale, operating on structured, semi-structured and unstructured data using both open source and cloud native distributed data processing solutions.

• Experience with BigData services of public cloud offerings and building on top of cloud platform primitives.

• An in-depth understanding of various approaches (and tradeoffs) of building a Privacy Platform for distributed Data & ML systems, offering a suite of services like sensitive data scanning at BigData scale, tokenization at rest and in flight, the handshake needed with data access management solutions on distributed cloud storage to enforce governed data production and consumption.

• Good knowledge of data science / analytics techniques.

• Experience making data-driven decisions, handling backlog, setting and monitoring KPIs

• Experience with stakeholder management (finance, budgeting, team management, recruitment, external customers).

• Strong partnership and collaboration skills are essential.

• Experience with web analytics software such as Google Analytics is a plus

• Previous involvement with high traffic (50,000+ visitors per day) on data management side, preferably E-commerce sites is a plus

What We'll Provide

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

• Medical, life, and disability insurance*

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, sick, and care leave

• Industry leading product discounts for yourself, friends, and family, including automatic Genius Level 3 status

• Free access to online learning platforms, mentorship programs, and a complimentary Headspace membership

• Collaborative, friendly and diverse culture

• Referral Program

• This role doesn't come with relocation assistance

• This role doesn't come with visa assistance

• For Washington, DC this role will have a salary range of: $164,100 - $182,000

• Additional Annual bonus potential

• *Please note that while our philosophy is the same in every location, benefits may differ by office/country.

Should you require accommodation to meet the essential functions of this job, please let us know.

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.