Product Manager

Yesterday Amsterdam, Netherlands

Technical Product Manager - GenAI for Engineering

Location: Amsterdam (Hybrid)

Department: Technology - Engineering Ecosystem

Employment Type: Full-time

About Booking.com

At Booking.com, we empower millions of travelers with seamless and memorable experiences. With hundreds of millions of monthly active users, thousands of partners, and a massive global engineering footprint, we rely on world-class developer platforms, tooling, and innovation to build and operate the products that power our business.

As we enter an era where GenAI becomes a core enabler of productivity, modernization, and engineering excellence, our mission is to supercharge the developer experience and accelerate the modernization of our tech landscape through safe, scalable, and high-impact AI-driven capabilities.

Role Overview

We are seeking a Technical Product Manager - GenAI for Engineering to shape, own, and execute the roadmap for Booking.com's GenAI Platform and Agent Strategy. This role focuses on enabling and orchestrating GenAI agents that enhance the software development lifecycle (SDLC) and accelerate engineering workflows through high-impact, reliable, and safe autonomous or semi-autonomous capabilities. You will work closely with a dedicated engineering team within GenAI for Engineering and partner with platform and product teams to bring agent-powered capabilities into the daily workflows of thousands of engineers.

This role requires a strategic, technically fluent product manager who can translate engineering problems into scalable AI platform capabilities and impactful SDLC automation solutions.

Key Responsibilities

  • Define & Execute the GenAI Platform & Agent Product Strategy

    • Own the vision and roadmap for the GenAI for Engineering Platform and agent ecosystem, ensuring strong capabilities for agent creation, discovery, governance, observability, and orchestration.
    • Align platform and agent development with engineering workflows and modernization priorities.
  • Enable Engineering Teams with AI-Powered Capabilities

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  • Partner with a dedicated engineering team to deliver AI-powered capabilities that enhance coding, testing, refactoring, and migration workflows.
  • Ensure seamless integration into IDEs, CI/CD systems, internal platforms, and approved third‑party tools.
  • Drive GenAI Adoption within our engineering community

    • Collaborate across engineering to scale adoption of GenAI capabilities.
    • Maintain feedback loops to identify friction, refine workflows, and drive continuous improvement.
  • Accelerate Tech Modernization Through GenAI

    • Support business units by enabling GenAI-powered use cases that reduce modernization effort and boost engineering productivity, including migrations, refactoring, and decoupling.
  • Measure Impact & Continuously Improve

    • Define and track KPIs that measure productivity improvements, modernization acceleration, quality gains, and reduced engineering toil.
    • Use insights from adoption metrics and user feedback to guide continuous product iteration.

  • Qualifications

    • Experience

      • 5+ years of product management experience, with a strong focus on developer platforms, engineering productivity tools, or internal platform capabilities in large-scale engineering environments.
      • Experience working with GenAI technologies and applying them to real engineering workflows, SDLC improvements, or modernization initiatives is a plus.
    • Technical Acumen

      • Solid understanding of software engineering practices, CI/CD, developer tooling, version control, and platform engineering fundamentals
      • Ability to translate engineering challenges into clear platform and agent requirements.
      • Familiarity with LLM-based systems at the integration level (e.g., prompt design, capability evaluation, API usage), without requiring experience in model training or ML lifecycle management.
    • Product & Analytical Skills

      • Proven ability to define product vision, measurable outcomes, and data‑driven prioritization.
      • Strong analytical mindset with the ability to interpret engineering productivity data, adoption metrics, and user insights.
    • Communication & Customer-Centricity

      • Excellent stakeholder management skills; able to influence across engineering, platform, and product teams.
      • Strong empathy for developers and a deep understanding of their workflows and pain points.
    • Education

      • Bachelor's degree in Computer Science, Engineering, or related field preferred.

    What We Offer

    • The opportunity to shape Booking.com's next generation of AI-powered developer platforms and pioneer GenAI for engineering adoption at enterprise scale.
    • Direct impact on the productivity and experience of thousands of engineers.
    • Competitive compensation and benefits.
    • A diverse, inclusive, and collaborative environment with global impact.
    • Learning and development opportunities tailored to your growth.

    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.

    Client-provided location(s): Amsterdam, Netherlands
    Job ID: booking-26936
    Employment Type: FULL_TIME
    Posted: 2025-12-18T18:35:39

    Perks and Benefits

    • Health and Wellness

      • Health Insurance
      • Life Insurance
      • Short-Term Disability
      • Long-Term Disability
      • Fitness Subsidies
      • Dental Insurance
      • Mental Health Benefits
      • Virtual Fitness Classes
    • Parental Benefits

      • Adoption Leave
      • Birth Parent or Maternity Leave
      • Non-Birth Parent or Paternity Leave
      • Family Support Resources
      • Return-to-Work Program
    • Work Flexibility

      • Flexible Work Hours
      • Remote Work Opportunities
      • Hybrid Work Opportunities
    • Office Life and Perks

      • Commuter Benefits Program
      • Casual Dress
      • Happy Hours
      • Snacks
      • Some Meals Provided
      • Company Outings
      • On-Site Cafeteria
      • Holiday Events
    • Vacation and Time Off

      • Paid Vacation
      • Paid Holidays
      • Personal/Sick Days
      • Volunteer Time Off
      • Summer Fridays
    • Financial and Retirement

      • Pension
      • Company Equity
      • Performance Bonus
      • Relocation Assistance
      • Stock Purchase Program
    • Professional Development

      • Promote From Within
      • Mentor Program
      • Access to Online Courses
      • Lunch and Learns
      • Internship Program
      • Leadership Training Program
      • Work Visa Sponsorship
      • Learning and Development Stipend
      • Professional Coaching
      • Shadowing Opportunities
    • Diversity and Inclusion

      • Diversity, Equity, and Inclusion Program
      • Employee Resource Groups (ERG)
      • Unconscious Bias Training