Planet

Technology

AIEngineeringLead

€70–110k ~AI est. Portugal FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“AI Engineering Lead at Planet”

Industry & Context.

Technology
Full Job Description

**About Planet** Planet is a 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 great customer experiences by combining payments and software 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 more than 120 markets. **Role Overview** We are looking for a Senior Engineering & AI Tech Lead to provide hands‑on technical leadership for our on‑premise hospitality products, while systematically infusing AI into both the product roadmap and the day‑to‑day ways of working of the engineering team. The successful candidate will be equally comfortable owning complex C# / C++ systems, modernising legacy platforms, and pragmatically applying AI (LLMs, ML, automation) where it creates real customer or operational value — not experimentation for experimentation’s sake. This is a hands‑on role: you will design, code, review, coach, and lead by example while steadily raising the technical and delivery bar of the team. **What you will do** ### ### Technical & Product Leadership * Act as the technical authority for the on‑prem product suite, spanning legacy and modern components * Drive architecture, design decisions, and technical standards across C# and C++ codebases * Own the technical execution of the product roadmap, ensuring delivery predictability, quality, and sustainability * Partner closely with Product leadership to translate business goals into executable technical plans * Identify and reduce systemic technical debt and operational risk ### ### AI Enablement & Adoption * Identify high‑leverage AI opportunities across the product: automation, supportability, configuration, data

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