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Skyscannervia Greenhouse

Principal Product Manager, AI Platform

EdinburghPosted 2mo ago
MLOpsStaff+Full-time

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About the Role

About Skyscanner 

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, London or Edinburgh, 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:<
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