About Planet

Planet is a global provider of integrated technology and payments solutions for retail and hospitality customers. The company creates great experiences for the millions of people who use its 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 to drive greater loyalty, increase revenue, and save time. Founded over 35 years ago with headquarters in London, Planet has more than 2,500 employees across six continents serving customers in over 120 markets.

Role Overview

The role is a Senior Engineering & AI Tech Lead who will provide hands‑on technical leadership for on‑premise hospitality products while infusing AI into the product roadmap and daily engineering practices. The successful candidate will own complex C# / C++ systems, modernise legacy platforms, and apply AI, ML, or automation where it delivers real customer or operational value.

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 quality, compliance, and operational efficiency.
Lead the pragmatic adoption of AI / LLM‑based capabilities in production environments.
Define standards for AI quality, testing, observability, security, and responsible use.
Introduce AI‑assisted ways of working for the engineering team (e.g. development productivity, testing, diagnostics, documentation).
Ensure AI is embedded into normal delivery workflows, not treated as a standalone initiative.

Delivery Ownership

Take end‑to‑end accountability for delivery outcomes, including prioritisation, execution, and risk management.
Establish and track engineering KPIs (predictability, quality, operational health).
Ensure systems meet legal, fiscal, security, and regulatory requirements relevant to on‑prem hospitality software.

Team Leadership & Enablement

Serve as a engineering team lead for the team as assigned.
Lead through influence, coaching, and example rather than hierarchy.
Mentor engineers and raise technical judgment and ownership across the team for AI.
Shape common engineering practices: code reviews, testing strategies, CI/CD, documentation, incident handling.
Gradually evolve team maturity, structure, and accountability as needed.

Ways of Working & Operational Excellence

Drive continuous improvement in engineering practices, tooling, and workflows.
Introduce clearer technical decision‑making, ownership boundaries, and escalation paths.
Improve collaboration across Product, Support, Operations, and Compliance.

Who you are

Strong professional experience in C# and C++ within complex commercial software products.
Deep understanding of software architecture, distributed systems, and long‑lived codebases.
Proven hands‑on experience delivering AI/ML or LLM‑based features into production.
Comfortable modernising legacy systems while maintaining reliability for existing customers.
Experienced technical leader who can run a team without relying on title or hierarchy.
Pragmatic, outcome‑oriented, and commercially aware.
Strong coach and mentor; raises the bar for others through clarity and example.
Confident in making—and standing behind—technical decisions.
Track record of delivering complex software predictably and safely.
Able to communicate clearly with engineers, product managers, and senior stakeholders.
Fluent in English.

Equal Opportunity Employer

Planet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need. Reasonable accommodations may be made in order to allow an individual to perform the essential functions of this role successfully.

AI Engineering Lead

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