• Plan, launch and optimize paid campaigns on Meta, Google and LinkedIn across multiple brands. • Take brands from 0 to 1, validate channels, find product-market fit signals, identify what scales and what doesn't. • Build and maintain dashboards (Looker Studio, GA4) for real-time visibility into KPIs across the portfolio. • Analyze performance daily, weekly and monthly, surface insights, not just numbers. • Design and run experiments: A/B tests on audiences, creatives, landing pages and attribution. • Manage budgets across brands and platforms with full P&L thinking, every dollar deployed is accounted for. • Maintain ad accounts health: pixel implementation, conversions, attribution setup, ad policies. • Ship clear, actionable performance reports to leadership on a weekly cadence. • Stay current on platform updates, attribution changes and what's actually working today.

• Build, manage, and optimize paid social campaigns across Meta (primary), TikTok, Snap, Reddit, AppLovin, and other emerging platforms. • Own budget allocation across channels and campaigns - you know when to shift spend and why. • Monitor performance daily and make real-time adjustments to bidding, targeting, creative, and budget to hit CAC and volume targets. • Manage the full campaign lifecycle from launch to scaling to sunset. • Partner with the Video Editor & Graphic Designer to brief creative that is grounded in performance data - you know what hooks work, what formats win by platform, and how to communicate that clearly to a creative team. • Run structured creative tests (hook tests, format tests, CTA tests) with clear hypotheses and clean measurement frameworks. • Build a creative learning system - every test produces an insight, every insight informs the next brief. • Own paid social reporting - weekly performance summaries, creative scorecards, and channel-level CAC tracking. • Maintain attribution clarity across platforms - you understand the limitations of in-platform data, how MMPs like AppsFlyer fit into the picture, and how to triangulate when signals conflict. • Identify trends, anomalies, and opportunities in the data before they become problems or missed wins. • Partner with the broader growth team to understand downstream metrics - installs, activations, deposits, LTV - not just top-of-funnel numbers.

• Independently managing customer accounts (from onboarding, optimization to renewal) • Analyzing cross-channel performance data with the customer (Google Ads, Meta, TikTok, Snap, ChatGPT Ads etc.) • Identifying optimization opportunities and actionable recommendations • Consulting our customers on performance marketing topics and best practices for AI implementation. • Close collaboration with Account Managers to strategically develop customer accounts • Close collaboration with our Product & ML teams to advance our platform

• PPC support, performance marketing campaign management & client support • Own responsibility for planning / implementation / management of your clients' advertising campaigns • Communication with clients • Management of PPC campaigns on Google, Bing, and Meta platforms • Monthly client meetings • Company communication in German