(Senior) Online Marketing Manager - AI & Performance

About the role

This position focuses on using data to guide high-impact marketing decisions in a fast-moving digital environment. You will translate raw performance data into clear strategies that drive measurable outcomes across European markets. A core part of the role involves designing and optimizing campaigns that scale efficiently while maintaining strict cost discipline. You will work directly with AI and automation tools to streamline campaign execution and reporting workflows. The position requires close collaboration with cross-functional teams to align marketing initiatives with product and business goals. You will be responsible for testing, learning, and iterating based on real-time feedback from users and markets. Success in this role will be defined by your ability to turn complex information into actions that improve user acquisition and engagement. You will own the end-to-end performance of key campaigns, ensuring that every decision is backed by data and experimentation.

Key facts

What you'll do

Design and manage performance marketing campaigns that optimize user acquisition and retention across multiple markets.

Leverage AI and generative AI tools to automate repetitive tasks, improve creative testing, and speed up decision-making.

Integrate AI-powered workflows into daily marketing operations to increase scalability and consistency across channels.

Analyze campaign performance using statistical methods and translate findings into clear recommendations for stakeholders.

Monitor key performance indicators such as ROAS, CPL, CTR, CPM, and CPC to evaluate and refine media strategies.

Collaborate with product, creative, and analytics teams to align campaign goals with broader business objectives.

Lead testing initiatives that measure the impact of messaging, targeting, and media mix across owned and paid channels.

Use data to identify high-value audience segments and adjust bids, budgets, and creatives accordingly.

Support the implementation of tracking frameworks and data collection standards to ensure reliable measurement.

Contribute to the development of internal playbooks and best practices for performance marketing and AI use.

Requirements

5+ years of experience in performance marketing, digital marketing, or paid media, demonstrating depth in managing complex campaigns across channels.

Proven experience integrating AI, generative AI, or AI-powered tools into marketing workflows, showing applied technical marketing capabilities.

Strong analytical skills with the ability to interpret ROAS, CPL, CTR, CPM, and CPC for evaluating campaign effectiveness.

Hands-on experience with Meta Ads, TikTok Ads, YouTube Ads, display retargeting, and performance optimization to ensure operational readiness.

Ability to work within international, cross-functional teams and align diverse perspectives toward shared multi-brand goals.

Fluency in English to enable clear communication across global stakeholders and audiences.

5+ years of experience working with data-driven marketing initiatives and a track record of decisions backed by analysis.

Comfort using SQL, spreadsheets, and visualization tools to explore data and communicate insights to non-technical audiences.

Nice to have

Experience with app marketing and app performance campaigns, adding depth in mobile-focused user acquisition contexts.

Familiarity with ProductsUp, Channable, AppsFlyer, Adjust, Google Tag Manager, server-side GTM, Conversions API, or Meta Events Manager to enhance tracking and optimization.

SQL, BigQuery, Adverity, QuickSight, or similar analytics platforms to support deeper data exploration and business recommendations.

Knowledge of another European language to broaden internal and external collaboration across European offices.

Practical notes

The role is based in Berlin and Munich, with collaboration across European offices.

Clear and consistent communication in English is required for success in this position.

Typical interview steps

Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.

Good to know

Performance marketing, AI, and marketing automation define the core focus of this role.

Leading advertising platforms, data systems, and technology tools support campaign execution.

The environment emphasizes growth, collaboration, and measurable impact within a diverse, international team.

Questions to ask

Worth asking in any interview: how the team measures success, who the role works with daily, what the onboarding looks like, and what the company is trying to achieve this year. Asking what past hires did well is a strong final question. Keep the list short and pick the questions that matter most to you.

Career growth

Data careers grow toward senior analyst, staff data scientist, or data engineering lead.

Many professionals specialize in machine learning, analytics, or infrastructure.

Cross-functional work with product and engineering teams becomes more important at senior levels.

The field changes quickly, so continuous learning is part of the job.

Professionals who can translate numbers into decisions tend to advance fastest.