About Planet

Planet is a general 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're building the next generation of AI-powered experiences on our Salesforce platform at Planet, and we're looking for an engineer who's excited to help shape it. Our environment is already live with Agentforce, and we want someone to help us extend it — building new agents, refining what's there, and finding smart ways to embed AI into our sales, service, and operational processes.

You don't need to have done all of this before.



If you're a Salesforce engineer curious about AI, an AI engineer curious about applying your craft inside a real enterprise platform, or somewhere in between — we'd like to talk to you. What matters most is a builder's mindset, clear thinking about where AI genuinely adds value, and the willingness to learn fast in a space that's still being defined.

What you will do
- Design, build, and deploy Agentforce agents — working with Agent Builder, topics, and actions backed by Flow, Apex, or prompt templates.
- Develop AI-grounded features using tools like the Einstein Trust Layer, Prompt Builder, Einstein Studio, and Data Cloud.
- Bring AI into our existing Salesforce estate — Sales Cloud, Service Cloud, and the workflows our business depends on day to day.
- Partner with our AI Centre of Excellence and business stakeholders to scope, prioritise, and ship work that matters.
- Tune and evaluate agent behaviour — instruct

📌 Salesforce AI Engineer (Madrid)
🏢 Planet Payment
📍 Madrid