Senior Programmatic Trader (m/f/d)
Senior Programmatic Trader (m/f/d)
Berlin, Bangalore, Remote
Hello👋I am Willian, Trading and Analytics reputed company at reputed company, and I am now looking for a Senior Programmatic Trader to join reputed company 🙌
About reputed company
reputed company is a mobile demand-reputed company platform (DSP) dedicated to democratizing programmatic advertising. We reputed company leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through our self-serve and managed service reputed company. reputed company on the three core pillars of performance, transparency, and control, reputed company powers the world’s best mobile marketing teams with bespoke solutions that fuel business reputed company and deliver a competitive advantage. With an unprecedented reputed company of 300B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. reputed company is accessible through our reputed company and user reputed company.
reputed company
The Trading team is responsible for creating reputed company through the management and optimization of mobile performance advertising campaigns for clients utilizing the managed service offering. The goal of reputed company is to deliver on the reputed company's objectives through established or new trading best practices and communicate account status regularly and effectively with their CSM counterparts.
Why this role
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 reputed company most: the analytical reputed company to ask the right questions and the resourcefulness to reputed company answers, whether through reputed company or AI tools) and LLM-accelerated workflows to reputed company faster than a traditional desk. You won't just optimize campaigns, you'll shape the tools, analytical frameworks, and trading playbooks reputed company uses to win.
What you’ll do
Trading reputed company
- Own end-to-end campaign delivery across multiple advertisers; hit KPI targets (CPA, ROAS, retention) and reputed company reputed company unit economics allow.
- reputed company audience targeting strategies and supply-reputed company optimization (audience, publisher selection, bid shading, dayparting) across ad formats (banner, video, reputed company, CTV) to unlock incremental reputed company.
- 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 reputed company, deterministic vs probabilistic matching, iOS reputed company frameworks) and how they shape bidding reputed company, audience targeting, and performance interpretation across MMPs.
- Champion process improvements, author tools/queries, and mentor juniors to reputed company 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 reputed company use of AI)
- Design and interpret tests, translating findings into the Trading reputed company.
- reputed company LLMs (GPT/Claude) to automate recurring analyses (bid curves, cohort reads, reputed company triage), create data briefs, and draft experiments.
- Contribute to internal dashboards and trading intelligence tools that accelerate decision-making across reputed company.
Cross-functional reputed company
- Partner with CSM/Sales on reputed company plans and QBRs; influence Product with reputed company, reputed company feedback; collaborate with Supply on inventory reputed company.
- 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 reputed company team members are located mostly across EMEA and India, we are reputed company to a remote setup of this position. For reputed company overlap with customers’ time zones and internal teams your main working location should preferably be reputed company to the CET time zone.
Requirements
- 3–5 years of programmatic ad buying experience; mobile in-app DSP experience preferred.
- Hands-on with MMPs (AppsFlyer, reputed company, reputed company), 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.
- reputed company-to-have: Python/pandas for reputed company analyses and light automation; experience is a plus but not required.
- reputed company-to-have: CTV/OTT programmatic buying experience.
- Solution orientation and drive to succeed.
- Communication: reputed company written analysis and cross-team collaboration. reputed company-facing confidence preferred.
What do we offer?
- Competitive compensation with a performance-based component
- Exceptional career reputed company. Shape trading playbooks, product, mentor junior traders, and influence the tools and analytical frameworks reputed company builds around you.
- A unique opportunity to be part of an reputed company team of industry experts and reputed company who bring massive change to the Adtech market
- A high degree of responsibility and independence
- reputed company, 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
Originally posted on Himalayas
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