Product Lead – AI Estate

Overview

As AI Estate & Observability Lead, you will own the strategy and roadmap for easyJet’s AI estate visibility platform, turning AI tools and agents into a measurable, governable resource. You’ll create user-friendly experiences that help colleagues discover, trust, and monitor AI solutions at scale. This role sits at the nexus of product, governance, and AI strategy, partnering across Digital Safety, Legal, HR, Engineering, and finance to drive real value.

Pay / Benefits

• Competitive base salary
• 20% annual bonus potential
• 25 days holiday
• Pension scheme
• Life assurance
• Flexible benefits package

Responsibilities

• Define the vision and long-term roadmap for AI estate visibility and observability
• Shape lifecycle representations of AI tools and agents from onboarding to retirement
• Serve as trusted advisor on AI performance, governance, and value to senior leaders
• Develop user research-driven product experiences for discovery, trust, and adoption of AI solutions
• Own and prioritise a value-driven product backlog and deliver features like AI catalogs, search, trust signals, governance workflows, and observability insights
• Enable governance at scale by surfacing assurance and risk indicators and translating requirements into product experiences
• Collaborate with AI programme teams, engineers, communications, learning teams, and external vendors to build foundations for future AI operations

Key requirements

• Proven experience in Product Management, Leadership, or Ownership roles
• Experience delivering enterprise software, internal platforms, SaaS, or knowledge-based products
• Strong understanding of current AI tooling and AI agent landscape
• Expertise in user research, product discovery, and customer-centred design
• Experience with information architecture, search, taxonomy, marketplace, or discovery products
• Ability to operate in complex, fast-changing environments
• Experience prioritising roadmaps and balancing stakeholder needs

• Stakeholder management and collaboration
• User-centric mindset and strong communication
• Strategic advisory and influence without direct authority
• Knowledge ofAI tooling (e.g., Microsoft Copilot, GitHub Copilot, Claude)
• Observability and data platforms (e.g., Databricks)
• Enterprise search, taxonomy development, and knowledge management

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