Posted on: March 28, 2026
About Simply.TV
You probably use our data every day without knowing it. When you open a streaming app, browse a channel guide, or get a move/show recommendation – the metadata powering that experience likely comes from Simply.TV.
We provide content data to the world’s largest TV distributors, streaming platforms, and telecom operators. Billions of data points. 30+ markets across EU, US, APAC, and Latin America. ~EUR 20M ARR. 400+ people. PE-backed by Summit Partners.
The opportunity
We’re turning Simply.TV into one of Europe’s first end-to-end AI-native content data companies. Not adding an AI feature to the product – rethinking how the entire business operates.
We already have agents in production. What we need now is more people who can build intelligent systems that actually work.
• Our data is content metadata – no PII, no sensitive records. We can train, experiment, and deploy without the regulatory overhead that slows most AI teams down.
• Full backing from our board and PE sponsor. This is the company’s strategic bet, with real budget behind it.
• Billions of structured, unstructured, and labeled data points.
Some of what we ship won’t work. That’s expected. The only way to fail here is to stop trying.
The role
6-person AI team led by our Head of AI. Flat. No middle management, no approval chains. You own what you build, and what you build goes to production.
This is a product-facing AI role. You take loosely defined problems and turn them into working systems. You’re the person who figures out what the AI should actually do, builds it, and ships it.
• Build AI features and workflows that run in production
• Develop retrieval, evaluation, and agent systems
• Prototype fast, test with real data, iterate
• Translate messy, ambiguous problems into things that work
You'll thrive in this role if you have:
•. Production-grade Python.
• Significant experience with LLMs, embeddings, retrieval systems, or agent frameworks. You’ve built with these tools, not just read about them.
• Experience with real-world systems – data, APIs, storage.
How you think
We care about how you solve problems. AI moves too fast for credentials to be the main filter.
• You start by building. When something is unclear, you write code and read docs to figure it out.
• You change your mind when the evidence changes. Ego stays out of technical decisions.
• Dead ends are part of the work. If that frustrates you, this isn’t the right fit.
• You challenge assumptions and propose things nobody else has tried.
Practicalities