Responsibilities
- 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.
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.
- Communication: crisp written analysis and cross-team collaboration. Client-facing confidence preferred.
- Solution orientation and drive to succeed.
Nice to Have
- 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.
Benefits
- 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
Additional Information
- Main working location should preferably be close to the CET time zone for optimal overlap with customers’ time zones and internal teams.
- Position is remote with team members located across EMEA and India.
- 500-dollar home-office setup budget provided.
- 1000-dollar annual learning and development budget provided.
