Marketing Engineer

About fonio

We grew from $1M to $10M ARR in under 12 months and now serve 10,000+ customers.

Your Role

As our Marketing Engineer, you sit at the intersection of data science and paid media. You'll consolidate scattered customer signals into a single source of truth, build ML models that score leads by their real value, and feed those insights back into our ad platforms - making our marketing smarter than the platforms' out-of-the-box optimization. It's a hands-on, build-from-scratch role with full ownership over both the models and the impact they create.

What to expect

• Build our predictive CLTV modelling from the ground up: consolidate customer signals into a database, develop ML models on user behavior to score leads
• Feed those scores back into the ad platforms (Meta, Google, and more) to sharpen targeting and bidding
• Own tracking and conversion infrastructure: Tag Manager, Search Console, offline uploads, server-side setups
• Turn raw behavioral data into measurable performance impact
• Work closely with the Performance Marketing team and Go-to-Market managers

Who We're Looking For

• You're comfortable building data pipelines and ML models - Python, SQL, and modern ML tooling are second nature
• You understand paid media well enough to know what signals matter and how platforms consume them
• Experience with attribution, conversion APIs, or offline conversion uploads is a strong plus
• Hardworking, analytical, structured, and a natural fit for a direct, ambitious culture
• Strong English skills, as English is our company language
• German skills are a big plus

What We Offer

• Competitive Salary: €65.000-€130.000
• Equity - you build it, you should own a piece of it.
• Food & drinks - at our Vienna office, lunch and dinner are on us (plus all the drinks your heart desires, and yes, we have protein bars and vitamins too).
• Relocation bonus (if you still need to move to Vienna)
• Equipment of your choice - whatever makes you happy.
• Regular team offsites.

Hiring Process

• 20 min intro call
• Case Study
• 30 min skill interview
• 20 min culture call