Job at a glance
About Us Planet is a leading technology company transforming payments by putting customer experience first. We offer integrated solutions that include payment processing, VAT refunds, dynamic currency conversion, and management services for merchants in the Retail and Hospitality sectors worldwide. In recent years, we have experienced significant growth, expanding our services and global presence.
With strong private equity investors, Advent International and Eurazeo, we have the financial capital and expertise to grow our capabilities and reach through acquisitions. Our mission is to create a world of connected commerce where payments are simple, secure, and seamless, enabling our partners to deliver exceptional experiences to their customers. Role overview: Planet is scaling AI-first engineering across its technology organisation, and the AI Enablement team is helping turn that ambition into day-to-day reality.
We are looking for Senior AI Developer Experience Engineers to join the team and help drive adoption across Engineering. This is a hands-on role focused on AI Fluency, developer experience, internal enablement tooling, and measurable improvement across the software delivery lifecycle. You will work closely with teams across Engineering, partnering directly with developers, QAs, product owners, scrum masters, business analysts, and managers to help them adopt better ways of working with AI.
This is not a role from the sidelines. You will spend time with teams, understand where they struggle, coach them in practical contexts, and help embed better habits into real delivery work. We are looking for people with strong engineering foundations who also bring a strong human touch. You should be someone who communicates clearly, builds trust easily, works well with different personalities, and knows how to bring people with you.
Success in this role depends as much on credibility with engineers as it does on your ability to explain, facilitate, coach, and create momentum across the organisation. You will help enable more than 300 engineers, alongside a broader set of SDLC roles, through structured AI Fluency sessions, hands-on pairing, internal agents and workflows, reusable guidance, and support for priority initiatives.
Over time, the role will also help drive adoption of broader platform and toolchain capabilities that improve engineering effectiveness across Planet. What You'll Do: Deliver AI Fluency sessions across Engineering and SDLC roles, from prompt engineering fundamentals to more advanced agentic coding workflows and practical AI-first ways of working Work closely with teams across Engineering, building strong relationships, understanding where they struggle, and helping them adopt AI and better workflows in a practical, team-friendly way Pair directly with developers and teams to improve adoption in real delivery work, helping them use tools such as GitHub Copilot, Copilot CLI, internal AI agents, workflow automations, and related capabilities effectively and responsibly.
Help maintain and improve internal enablement tooling, including AI agents, automations, templates, prompts, workflows, and supporting assets used across the organisation. Create high-quality enablement content, including guides, templates, examples, recorded sessions, best practices, and role-specific learning material that teams can actually use. Assess and track AI maturity across teams using Planet’s AI Fluency model, helping identify where support is needed and where stronger patterns can be scaled.
Support priority initiatives with dedicated AI-first coaching, helping delivery teams apply better workflows, better prompting, and more effective use of internal tools in live projects. Collaborate closely with Architecture and Platform teams so enablement stays aligned with engineering standards, platform capabilities, system landscape, and the way Planet builds software. Capture adoption signals, usage insights, and learning feedback, an