About the role
Groupon connects 42 million customers with local experiences - restaurants, events, wellness and travel - and the million-plus merchants who deliver them. Our mission is to get people offline and into the real world at prices that make it possible. We're an AI-native company in the middle of a platform transformation, moving from a deals marketplace to an experience discovery platform that works for customers and merchants at the same time. Google Ads at Groupon operates at massive scale across international markets, with the US driving the majority of spend.
The team manages the full ecosystem of campaigns - Search, Shopping, Performance Max, Things to Do, Hotel Ads, Demand Gen and DSA - so the challenge is no longer scale, but smarter scale. We’ve reached the point where manual optimization is no longer a competitive advantage - it’s a limitation. The real opportunity is building systems, automation and decision-making frameworks that allow
the team to move faster, operate more efficiently and focus on the strategic levers that actually drive growth. Who you'll work with You'll report to Jakub, Head of Performance Marketing, who owns both the SEM and Display teams.
The team operates with high autonomy, which means ownership is real, not nominal. One honest line: the expectation here is that you find the problem before someone tells you it exists. What you'll be doing Managing Google Ads campaigns across Search, Shopping, Performance Max, Things to Do, Hotel Ads, and Demand Gen - improving account structure and bidding logic so that performance scales without proportional increases in manual work Building automated workflows using Google Ads Scripts and the Ads API, replacing manual bid adjustments, budget pacing, and anomaly detection with systems that run without daily intervention Connecting campaign performance to business outcomes - ROAS, CAC, margin, so that spend decisions are grounded in what actually moves revenue, not platform metrics Improving feed quality and product data flows so that Shopping and PMax campaigns have clean, optimized input and don't lose performance to data issues Identifying underperforming market or campaign segments early, diagnosing root cause, and acting on it - not waiting for a monthly review to flag a problem Collaborating with analytics and growth teams to ensure tracking, attribution, and reporting are accurate enough to trust for decision-making Using AI tools in a practical, workflow-integrated way - prompt-based analysis, automated reporting pipelines, creative testing frameworks, not as a talking point but as a daily part of how work gets done What success looks like Day 30: You have audited the accounts you own, identified the highest-priority structural or bidding issues, and have a clear plan shared with your manager. Day 60: At least one meaningful automation or workflow improvement is live and reducing manual work for you or
