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Booking.com · 5 hours ago

Product Manager - Data Classification

Washington, DC

Full-time

Hybrid

Senior Level

$171K/yr - $190K/yr

6+ years exp

Booking.com is a leading travel e-commerce company that leverages data to enhance user experiences. They are seeking a Technical Product Manager to set the product vision and drive the adoption of an enterprise-wide data and AI product for asset classification, ensuring compliance with global regulations.

E-CommerceHotelInformation TechnologyLeisureTravelWeb Development

Comp. & Benefits

No H1B

Responsibilities

Set the product vision, GTM strategy and drive adoption of an enterprise wide data & AI product / asset classification tooling

Integrate with various governance tooling like the enterprise policy platform, the enterprise knowledge graph

Offer a consistent way to classify and annotate various data, analytical and AI assets / products

Serve multiple personas from control functions, legal functions to application developers, to data / reporting analysts, to data engineers and ML engineers / scientists and governance personas across the business

Enable users to leverage the classification tooling to annotate / classify multi-modal asset types

Provide valuable business context to asset types allowing semantic context to be leveraged for broader context aware discovery experiences

Balance value elements for the user segments - the data & AI practitioners of the business as well as the compliance / control / legal functions

Identify opportunities for the product(s) and address compliance challenges around multi-modal data processing

Understand how AI systems can help bridge gaps and delight platform users by addressing pressing classification and policy issues

Familiarity with distributed policy enforcement and access management systems

Deep understanding of how data gets captured across various funnels and how it gets processed in different contexts

Qualification

Distributed data platformsGraph database systemsData processing at scalePublic Cloud AWSPublic Cloud GCPData science techniquesStakeholder managementA/B testingTeam collaborationCommunication skillsProblem solving

Required

Experienced with distributed data & AI Platforms, including wide and deep understanding of various distributed data processing and AI processing capabilities. Familiar with data processing in production, at scale. Understanding of batch and stream processing, as well as native cloud solutions powering such pathways

Experience with Graph database systems and understanding of how LLMs leverage context windows in custom prompts, sourced from a variety of input vectors, to fine tune custom LLM outputs

Solid understanding of various data, analytical and AI assets / products (from datasets > workflows / pipelines > metrics > reports > prompts > features > agents) and how their dependencies are intertwined in a distributed data & AI platform

Solid understanding of the value proposition of semantic views and the context it adds to abstract consumption complexity for consumers, while forging re-usability of trusted asset types across the enterprise

Strong understanding of asset discovery funnels across various journeys on distributed data & AI platforms, across a wide range of personas, and how classification feeds semantic context of various assets, to make such discovery journeys more relevant, context aware

Ability to identify core success metrics across various parts of data production and consumption funnels

Experience with public Cloud offerings (AWS and GCP) and building on top of cloud platform primitives

6+ years of experience in a Product Management, Engineering or Technology Strategy role

Good knowledge of data science / analytics techniques

Master of making data-driven decisions, managing backlog, setting and monitoring KPIs

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

Strong teamwork and collaboration skills are essential

Ability to rapidly adapt to the evolving technology landscape, keep abreast of the rapidly evolving data and AI industry are paramount

Preferred

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

Experience running A/B tests (or exposure to A/B testing concepts) is a plus

Previous involvement with high traffic (50,000+ visitors per day) on the platform development side, preferably E-commerce is a plus

Benefits

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 and annual Booking.com wallet credit (keep this part, for internal JDs only)

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

Collaborative, friendly and diverse culture

Referral Program