Principle AI manager

Overview

Everyone loves travelling, but planning is not without its challenges ✈️. That’s why we’ve spent 20 years building tools that turn travel-planning chaos into a breeze. Today, around 100 million travellers count on us every month to skip the whole “47 browser tabs open” phase and find flights, cars, and hotels quickly and easily 💻.

Joining Skyscanner means becoming part of a global brand that’s striving to become the planet’s go-to travel hack accessible for all 🌍.

Our vision? To be the world’s number one travel ally. (Ambitious? 💪 Yes, but, hey, that’s what got us here.)

About The Role

We’re looking for a Principal Product Manager – AI Platform to shape the foundation that powers Skyscanner’s next generation of AI systems. You’ll focus on the developer experience and productivity that make world-class AI possible — from model orchestration and LLMOps to prompt tooling, evals, security,and AI Ready Knowledge.

This is a hands-on, platform-focused role for a PM who loves thinking in systems, translating cutting-edge AI capabilities into smooth, secure, and joyful experiences for engineers, data scientists, and PMs alike. You’ll define the backbone of our AI ecosystem — ensuring our teams can safely build, test, and ship smarter, faster, and better.

You can be based in Barcelona or London, where we adopt a hybrid working policy of working in the office twice a week.

What You’ll Be Doing

Driving AI Platform Strategy: Define the roadmap for Skyscanner’s GenAI platform, spanning infrastructure and tooling, developer productivity, and observability.
Championing Developer Experience: Design platform capabilities that make experimentation, evaluation, and deployment of GenAI features frictionless — boosting productivity through measurable outcomes like DORA and Core4 metrics.
Leading with Security and Governance: Partner with security, compliance, and data governance teams to ensure responsible AI usage, privacy, and policy adherence across our stack.
Powering AI-Ready Knowledge: Help build and scale Skyscanner’s knowledge graph, retrieval systems, and evaluation frameworks for both internal and traveller-facing AI use cases.
Enabling Measurable Impact: Define and track metrics for platform reliability, usability, and developer delight, ensuring innovation scales responsibly.
Collaborating Across Disciplines: Work hand-in-hand with ML engineers, data scientists, and PMs to turn platform magic into traveller impact.

Company:

Skyscanner

Qualifications:

Deeply Technical PM: You understand the nuts and bolts of modern AI — from LLMs, embeddings, evals and RAG to inference pipelines and prompt engineering — and can speak the language of engineers confidently.
Platform Thinker: You’re at home in developer-facing environments and have shipped products or tools that improved engineering velocity, or workflow quality.
ModelOps Fluent: You know what it takes to operationalise AI — including evaluation frameworks, reproducibility, model registries, and the practical realities of scaling.
Metrics-Driven: You’re obsessed with quantifying impact — familiar with DORA, Core4, and productivity metrics that help measure and improve developer experience.
Collaborative Influencer: You thrive on ambiguity, drive clarity through collaboration, and influence through trust and expertise (not org charts).
Curious Experimenter: You keep one foot in the future — exploring new AI tools, frameworks, and practices, always looking for the next edge.

Tagged as: Industry, Machine Learning, Spain