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Product Manager

Job in 1000, Amsterdam, North Holland, Netherlands
Listing for: Booking Holdings, Inc.
Full Time position
Listed on 2026-01-11
Job specializations:
  • IT/Tech
    AI Engineer, Product Engineer, Data Science Manager, Systems Engineer
Salary/Wage Range or Industry Benchmark: 40000 - 60000 EUR Yearly EUR 40000.00 60000.00 YEAR
Job Description & How to Apply Below

Technical Product Manager – GenAI for Engineering

Location: Amsterdam (Hybrid)

Department: Technology – Engineering Ecosystem

Employment Type: Full-time

About

At , 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 ’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
    • 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…
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