Kayzen - Senior Programmatic Trader (m/f/d)
Requirements
• 3–5 years of programmatic ad buying experience; mobile in-app DSP experience preferred. • Hands-on with MMPs (AppsFlyer, Adjust, Singular), postback flows, fraud detection, and reporting tools. • Data-driven decision making; comfortable building and modifying SQL queries (joins, CTEs, window functions a plus). Familiarity with BI tools. Familiarity with AI is a must. • Nice-to-have: Python/pandas for ad-hoc analyses and light automation; experience is a plus but not required. • Nice-to-have: CTV/OTT programmatic buying experience. • Solution orientation and drive to succeed. • Communication: crisp written analysis and cross-team collaboration. Client-facing confidence preferred.
Responsibilities
• Trading excellence • Trading excellence • 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. • Analytics & automation • 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. • Cross-functional impact • 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. • Since I am based in Argentina and other key product and customer success team members are located mostly across EMEA and India, we are open to a remote setup of this position. For optimal overlap with customers’ time zones and internal teams your main working location should preferably be close to the CET time zone.
Benefits
• In this role, you will own and grow a portfolio of mobile programmatic campaigns (UA/RT) across verticals including gaming, fintech, betting, and CTV, delivering CPA/ROAS targets while scaling FCT and protecting contribution margin. You'll pair deep trading skills with analytics (SQL must have / Python desirable. What matters most: the analytical instinct to ask the right questions and the resourcefulness to find answers, whether through code or AI tools) and LLM-accelerated workflows to move faster than a traditional desk. You won't just optimize campaigns, you'll shape the tools, analytical frameworks, and trading playbooks the team uses to win. • Competitive compensation with a performance-based component • Exceptional career growth. Shape trading playbooks, product, mentor junior traders, and influence the tools and analytical frameworks the team builds around you. • A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market • A high degree of responsibility and independence • Direct, day-to-day work with the management • A fun, driven, and multinational team located across Germany, India, Argentina, Ukraine, Spain, the UK and many more countries • A flexible work-from-home arrangement • A 500-dollar home-office setup budget • A 1000-dollar annual learning and development budget
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