Lead User Acquisition Manager - Mobile Games

We are hiring a Lead User Acquisition Manager to scale the growth engine of a European mobile gaming company building a portfolio of mobile games.

The company combines expertise in game development, performance marketing, analytics, and creative production to build scalable and profitable growth engines. Operating with a remote-first culture , the team is expanding its growth capabilities to accelerate user acquisition across its game portfolio.

This is not a pure media buying role.

You will operate as a Growth Engineer , owning the performance and profitability of a high-impact user acquisition portfolio and driving growth through data, experimentation and creative innovation .

Managing a $500k+ monthly UA budget , you will work at the intersection of performance marketing, analytics, creative production and monetization .

Your responsibilities will include:

AI-Native Creative Strategy

• Lead an AI-first ad creative production workflow with the Lead Motion Designer and Creative Producer.
• Use Generative AI models for rapid visual prototyping, video generation, and copy optimization.
• Deliver high-velocity, high-quality asset variations that accelerate algorithmic learning and performance.

Technical Sovereignty & Privacy Stewardship

• Act as a technical owner of measurement infrastructure with BI Engineers.
• Maintain strong expertise in privacy-centric frameworks (SKAdNetwork 4.0, Google Privacy Sandbox).
• Ensure reliable measurement and conversion schema integrity.

Strategic Portfolio Management

• Manage and optimize UA budgets on Meta and Google.
• Diversify channel mix into high-growth vectors (TikTok, DSPs, SDK networks).
• Lead rigorous testing, scaling, and channel optimization with a focus on LTV and ROAS.

About you

• 5+ years of mobile gaming UA experience : Proven track record managing significant budgets.
• Comfort being hands-on with Generative AI tools : Essential force multipliers for modern UA.
• Deep proficiency with analytics platforms : Looker and MMPs (AppsFlyer, Singular).
• Experience supporting Data Science teams : Building or refining predictive LTV (pLTV) models is highly desirable.
• Ability to translate complex cohort dataInto actionable strategy for C-suite stakeholders.
• Strong understanding of hybrid monetizationIAA + IAP and unit economics.

We are looking for someone who combines analytical thinking, experimentation mindset and hands-on execution .

• Remote-first role – work from anywhere
• Full-time position or contract
• Competitive compensation aligned with experience and impact
• Comprehensive Wellness : Premium wellness package, including healthcare insurance and optional mental health support.
• Continuous Evolution : Annual professional development budget, including GDC attendance and advanced AI/Data Science training.

Start date: April 2026