• Own end-to-end campaign delivery across multiple advertisers; hit KPI targets (CPA, ROAS, retention) and scale when unit economics allow. • Develop audience targeting strategies and supply-side optimization (audience, publisher selection, bid shading, dayparting) across ad formats (banner, video, native, CTV) to unlock incremental scale. • Build and execute testing roadmaps (optimization models, bids, budgets, frequency, creatives, geos, etc.) to drive incremental lift. • Manage pacing, budget allocation, and risk across an account book, proactively mitigating under-delivery. • Understand mobile attribution dynamics (postback flows, attribution windows, deterministic vs probabilistic matching, iOS privacy frameworks) and how they shape bidding strategy, audience targeting, and performance interpretation across MMPs. • Champion process improvements, author tools/queries, and mentor juniors to raise team throughput. • Dive into log-level and aggregated data to diagnose performance; write production-grade SQL (joins, CTEs, window functions) and Python/pandas analyses (or sharp use of AI) • Design and interpret tests, translating findings into the Trading Playbook. • Leverage LLMs (GPT/Claude) to automate recurring analyses (bid curves, cohort reads, anomaly triage), create data briefs, and draft experiments. • Contribute to internal dashboards and trading intelligence tools that accelerate decision-making across the team. • Partner with CSM/Sales on growth plans and QBRs; influence Product with crisp, quantified feedback; collaborate with Supply on inventory quality. • Work with DS/DA on model inputs, new testing hypotheses or model improvements, and with Product Support to quickly unblock delivery.

• Manage day-to-day campaign optimization across a set of advertisers; monitor and hit KPI targets (CPA, ROAS, retention) with guidance from senior traders. • Execute supply-side and audience optimization tactics including publisher management, bid adjustments, and dayparting across ad formats (banner, video, native, CTV). • Run A/B tests on bids, budgets, creatives, and geos as part of broader testing roadmaps; document results and contribute learnings to the Trading Playbook. • Monitor pacing and budget allocation daily, flagging risks and under-delivery proactively. • Build a working understanding of mobile attribution (postback flows, attribution windows, MMP integrations) and how attribution models affect how we measure and optimize campaign performance. • Use SQL to pull and analyze campaign data from internal databases; build comfort with joins, CTEs, and window functions over time. • Learn to leverage LLMs (GPT/Claude) for recurring analyses, data briefs, and performance diagnostics, this is a core part of how our team works. • Support the creation and maintenance of dashboards and reporting tools used by the trading team. • Develop your analytical instincts: learn to ask the right questions, understand what's driving performance, and use available tools (SQL, AI, BI tools) to find answers. • Work with CSMs to understand client goals and communicate campaign status clearly. • Support QBR preparation and client-facing deliverables alongside senior traders. • Collaborate with Product Support to troubleshoot delivery issues and with Supply on inventory quality questions.

• Develop, backtest, and execute innovative trading strategies across European power markets • Manage trading activities within established risk parameters • Collaborate closely with developers and quantitative researchers to optimize trading strategies • Provide strategic insights into European power market dynamics

• Lead live trading execution for key sports, leagues, or high-priority events. • Oversee pricing accuracy, market integrity, and response times. • Monitor and optimize: Market suspensions • Re-open timing • Pricing vs market benchmarks. • Analyze performance across events (hold, competitiveness, volatility). • Identify inefficiencies in: Templates • Pricing flows • Tooling or automation. • Provide mentorship and guidance to junior traders. • Support development of live trading SOPs and frameworks. • Collaborate with Risk on real-time exposure and player behavior.