Ad Monetisation Specialist

At Metica, we let game studios focus on making great games – while we take care of growing them. We're an AI-native growth partner for mobile games studios, unifying user acquisition and in-game monetisation so games grow without studios having to build that expertise in-house.

We're built by founders and an early team on their third venture together (previously built and exited to King and Apple), backed by Play Ventures, 13books Capital and Firstminute Capital. We're already working with some of the biggest names in mobile gaming, and are entering our scaling phase – which means real ownership for whoever joins us next.

Meet Your Hiring Manager

Hiring manager: CTO

The Role

You live and breathe how to get the most out of an Ad setup. You see it as a challenge to constantly beat the networks.

Metica is hiring a hands-on individual contributor to improve monetisation in our owned mobile games, and turn proven learnings into product capability. This is an IC role – not management, not ad-sales/partnerships, and not pure strategy or advisory. You'll be hands-on in live games, in the data, changing configuration, and learning fast.

We are looking for someone with minimum 5 years hands on experience in Ad monetisation.

Location is London, Lahore, Istanbul, Warsaw, Hanoi or remote.

You Will

• Find and test monetisation opportunities in live games.

• Work directly in MAX, LevelPlay, AdMob, and ad-network dashboards.

• Optimise ad calls, bidding/waterfalls, floors, frequency, placements, rewards, and network mix.

• Run controlled experiments with revenue, retention, and LTV guardrails.

• Work closely with game engineers, data science, and the Core Product team.

• Document what works, what doesn't, and what should become reusable product.

You Need

• Hands-on experience owning ad monetisation in live mobile F2P games.

• Strong knowledge of mediation, bidding, waterfalls, eCPM, fill, latency, and pricing.

• Good instincts for game economy, ad experience, IAP conversion, retention, and LTV.

• Strong analytical and experimentation skills.

• A bias to get into the data, change configuration, and learn quickly.