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, and feed these into the AI Centre of Excellence and broader leadership reporting.
- Over time, help expand enablement beyond AI tooling into broader developer experience and platform adoption across the engineering toolchain.
Who you are:
- Strong software engineering background, with experience building or maintaining production systems and a solid understanding of the full SDLC.
- Hands-on experience with AI-assisted development tools such as GitHub Copilot, Copilot CLI, Cursor, Cody, Claude Code, or similar.
- Excellent communication and facilitation skills, with the ability to explain complex concepts clearly, run hands-on workshops, and adapt your style to different audiences across Engineering.
- Strong interpersonal skills and a genuine human touch. You build trust, work well with different personalities, and enjoy helping teams improve in a practical and collaborative way.
- Credibility with engineers. You are comfortable pairing with developers, discussing implementation trade-offs, and helping teams improve how they work in practice.
- Experience creating strong technical content such as guides, tutorials, documentation, or internal learning material.
- A genuine interest in developer experience, engineering productivity, and helping teams adopt better ways of working.
- Experience in developer experience, developer enablement, developer advocacy, or internal technical coaching.
- Understanding of enterprise engineering environments, including APIs, system design patterns, CI/CD, observability, infrastructure, and engineering governance.
- Strong understanding of prompt design, LLM capabilities, agentic workflows, and practical AI usage patterns in software engineering.
- Experience defining or tracking adoption metrics, maturity models, developer productivity indicators, or ROI-oriented enablement measures.
- Experience with workflow automation and internal tooling, including platforms such as N8N or similar.
- Familiarity with fintech, payments, or regulated engineering environments.
Tech Environment
AI and enablement tools: GitHub Copilot, Claude Code, Copilot CLI, internal AI agents, workflow automations
Engineering ecosystem: GitHub, Azure DevOps, Jira, Confluence, Terraform
Languages and stacks: Java, .NET, TypeScript, Python, and others across Planet teams
Why Planet
Planet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need.
Come and grow your career in the most exciting, fast-paced technology market, with a business that delivers feel-good connected commerce.
We would love to hear from you. Apply now.
At Planet, we embrace a hybrid work model, with three days a week in the office.
Reasonable accommodations may be made in order to allow for an individual to perform the essential functions of this role successfully.
Skills Required
- Strong software engineering background with experience building or maintaining production systems and understanding of the full software development lifecycle.
- Hands-on experience with AI-assisted development tools such as GitHub Copilot, Copilot CLI, Cursor, Cody, Claude Code, or similar.
- Excellent communication and facilitation skills, including the ability to explain complex concepts, run hands-on workshops, and adapt to different audiences.
- Strong interpersonal skills and ability to build trust and collaborate with diverse engineering teams.
- Credibility with engineers and comfort pairing with developers and discussing implementation trade-offs.
- Experience creating technical content, including guides, tutorials, documentation, or internal learning materials.
- Genuine interest in developer experience, engineering productivity, and improving team workflows.
- Experience in developer experience, developer enablement, developer advocacy, or internal technical coaching.
- Understanding of enterprise engineering environments, including APIs, system design, CI/CD, observability, infrastructure, and engineering governance.
- Strong understanding of prompt design, LLM capabilities, agentic workflows, and practical AI usage in software engineering.
- Experience defining or tracking adoption metrics, maturity models, developer productivity indicators, or ROI-oriented enablement measures.
- Experience with workflow automation and internal tooling, including N8N or similar platforms.
- Familiarity with fintech, payments, or regulated engineering environments.
Planet (weareplanet.com) Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Planet (weareplanet.com) and has not been reviewed or approved by Planet (weareplanet.com).
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Fair & Transparent Compensation — Company materials indicate salaries are benchmarked to market throughout the year, suggesting a structured approach to aligning pay with role value. Feedback suggests some roles can negotiate competitive offers at hire.
Planet (weareplanet.com) Insights
What We Do
Planet is a leading global provider of integrated technology and payments solutions for retail and hospitality customers. We create great experiences for the millions of people who use our Payments, Software, and Tax Free solutions every minute of every day. Planet empowers its customers to deliver amazing customer experiences by combining payments and technology in ways that drive greater loyalty, increase revenue and save time. Founded over 35 years ago and with our headquarters in London, today we have more than 2,500 employees located across six continents serving our customers in over 120 markets
