---
title: 'AI Engineer - Data at Almedia'
canonical: 'https://feeny.ai/job/ai-engineer-data-almedia-berlin-530rrk1fw79t'
type: 'job'
last_seen: '2026-09-10'
---

# AI Engineer - Data at Almedia

- **Company:** Almedia
- **Location:** Berlin, Germany
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-10
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/almedia/7338fa74-0fde-4201-99ce-d313ba6ebb5d

## Job description

This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000).

We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world.

AI Engineer - Data

## About Almedia

Almedia is Europe's #3 fastest-growing company (FT1000, 2025), bootstrapped and profitable from day one, and on track to become Germany's second bootstrapped unicorn. We reward our community of 80M+ users for engaging with our advertisers' products, giving the world's biggest companies a new way to acquire and retain users. Our products: Freecash, [Zave.IT](http://Zave.IT), and Link.

This is our first dedicated AI Engineer in the data team: a hands-on, build-and-ship role with unusually broad scope, right at the core of how our product works.

## What you'll own

- The AI behind our rewards engine. We want to create our next generation of reward design system fully agentically. We want AI to look into the games, generate tailored offers, and evaluate them before they go live, replacing our current inflexible design.
- Open-ended AI problems, end to end. Across the data org's verticals, from payer structures to user acquisition and beyond, you'll take the fuzzy "could AI help here?"problems, deeply understand the underlying business logic and turn them into shipped agentic systems, working directly with our Staff Data Scientists, our CTO, and leadership.
- Genuinely agentic systems: We want agents, pipelines, retrieval and evaluation, basically a claude code for reward design. You'll decide where AI belongs and, just as importantly, where it doesn't.
- The standard for how AI gets built here. As our first dedicated AI Engineer, the patterns, tooling and judgement you set become how AI-fluent data scientists across the team work.

## What you'll bring

- Own everything, take initiative: you take AI problems from a vague brief to a shipped, working system without being asked — "not my job" isn't in your vocabulary.
- Move fast: you start before you're ready, ship the small test, and iterate against real data.
- Raise the bar: your standards show up in the systems you ship, not in what you say.
- Focus on impact: you know when not to reach for AI, and can name the simpler thing you chose instead to protect what mattered most.
- AI-native: agents, LLM pipelines, RAG and modern AI tooling are already part of how you build — and you can explain exactly how you've used them.
- You've built real AI systems: you can code (Python), and you've shipped something genuinely agentic — an agent, an LLM pipeline, at minimum a real RAG system — that got used, with solid engineering or applied-ML foundations underneath, not just LLM calls.
- Bonus: adtech, marketplaces, recommendations/ranking, or high-scale consumer products.

## How we work

- Ownership from day one. You'll be trusted with real responsibility fast, and held to it.
- Intensity, rewarded. We move quicker than almost anyone, and pay, bonuses and progression reflect it.
- AI without limits. Best-in-class AI tooling, company-paid, built into every team's workflow. Few companies give you this level of access.
- In person. We're 5 days a week in the office. Not local yet? We support your relocation to London or Berlin.

Tech stack

- Language: Python — the non-negotiable.
- AI / LLM: modern LLM APIs and open models; agentic frameworks and orchestration (e.g. LangChain / LangGraph / LlamaIndex); RAG and vector search; evaluation frameworks / eval-driven development; prompt and context engineering.
- Data & infra: BigQuery and SQL over large behavioural datasets; cloud (AWS / GCP), containers, CI/CD.

We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.

## About Almedia

## Company Overview
- **One-liner**: Almedia builds the world's smartest engagement engine, powering reward-based user acquisition for games and apps through its flagship platform Freecash.
- **Entity Type**: Private (Bootstrapped)
- **Headquarters**: Berlin, Germany
- **Founded**: 2020
- **Founders**: Moritz Holländer (CEO)

## Core Business
- **Primary industry**: Advertising Technology (Rewarded User Acquisition)
- **Target customers**: B2B – game developers, app publishers, and brands looking to acquire high-quality, engaged users
- **Mission or purpose statement**: “Engineer the future of user acquisition and revolutionize the advertising technology landscape” by making user attention a compensated asset.

## Products & Services
- **[Freecash](https://almedia.co/)**: A reward-based user acquisition platform where 80M+ users earn real-money rewards for trying games, apps, and surveys. Delivers up to 2x 180-day ROAS and 3x ARPU compared to traditional channels.
- **Prizeplay**: Gamified rewards engine that boosts retention and lifetime value through tailored reward systems.
- **Cashback (via zave.it acquisition, August 2025)**: Cashback offers for purchases, integrated into Freecash and expanding into European markets.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (bootstrapped, no external funding rounds publicly known)
- **Key Metric**: Annual revenue estimated at USD $100M–$500M (LinkedIn company data); $91M+ paid out to users to date.
- **Notable Investors/Partners**: Bootstrapped – no venture capital; partners include 1,200+ games and brands (e.g., Candivore). Recognized by Financial Times FT1000 (2025) as Europe’s fastest-growing advertising company.
- **Growth Signals**: 
  - 80M+ users (up from 60M+ earlier in 2025)
  - Headcount grew 51.5% YoY to 139 employees (LinkedIn, 2026)
  - Freecash topped iOS App Store charts globally (Feb 2026)
  - Re-entered Google Play (May 2026)
  - Acquired German cashback platform zave.it (Aug 2025)

## Competitive Advantages
- **Bootstrapped unicorn trajectory**: No outside investors means full ownership and long-term focus.
- **Proprietary reward engine**: Drives 2–3x higher ROAS and retention vs. traditional UA channels.
- **Data-driven intelligence**: Real-time analytics and custom reward structures optimize campaign performance.
- **Large, engaged user base**: 80M+ users with a 4.8★ Trustpilot rating from 250,000+ reviews.
- **Global reach with local focus**: Operates in 20+ countries including UK, China, South Korea, India, and Armenia.

## Strategic Focus
- **Deepen the Freecash ecosystem**: Expand reward types (cashback, in-game rewards) across more geographies.
- **Scale the platform internationally**: Enter new markets with localized reward offerings (e.g., cashback in Germany after zave.it acquisition).
- **Invest in AI and data science**: Recent job postings include AI Full Stack Engineer, CRM Marketing Manager – Data & AI Operations, and Data Scientist.
- **Double down on engineering and product quality**: Hiring for high-ownership roles like Founding Engineer.

## Why Work Here
- **Culture of ownership and impact**: Values like “Own Everything, Get It Done” and “Focus on Impact” mean employees take real responsibility early. Described as “not a 9-5 – we highly reward intensity.”
- **High growth environment**: 51.5% headcount growth YoY with 54 open positions as of mid-2026. Opportunity to accelerate career faster than at larger companies.
- **Fully in-office**: 5 days a week in Berlin to build “energising momentum” – team collaboration is a core value.
- **Competitive compensation**: Employer rating of 4.0/5.0 for compensation on LinkedIn (3.8 overall). Revenue in nine figures.
- **Engineering-centric**: 15% of staff in technical roles; hiring for Founding Engineer, AI Full Stack Engineer, Data Scientist – suggesting strong engineering culture and modern stack.
- **Notable perks**: Being part of a bootstrapped unicorn story; work with a young, international team (average age likely mid-20s). Recent alumni go to fast-growing startups like Trade Republic, Moloco.

## Sources
1. [Almedia About Page](https://almedia.co/about)
2. [Almedia Homepage](https://almedia.co/)
3. [Almedia Careers Page](https://almedia.co/careers)
4. [Almedia Press Page](https://almedia.co/press)
5. [LinkedIn Company Profile](https://www.linkedin.com/company/almediaco/)

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