Trading excellence

• Manage day-to-day campaign optimization across a set of advertisers; monitor and hit KPI targets (CPA, ROAS, retention) with guidance from senior growth analysts.
• 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.

Analytics & automation

• 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.

Cross-functional impact

• Work with CSMs to understand client goals and communicate campaign status clearly.
• Support QBR preparation and client-facing deliverables alongside senior growth analysts.
• Collaborate with Product Support to troubleshoot delivery issues and with Supply on inventory quality questions.

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.

Requirements

• 1–3 years of programmatic ad buying, ad operations, or adjacent adtech experience.
• Familiarity with MMPs (AppsFlyer, Adjust, Singular) and attribution concepts; hands-on experience preferred.
• Analytical mindset; basic SQL ability or a demonstrated willingness to learn quickly.
• Curiosity about AI and automation — you don’t need to be an expert, but you should be excited to use LLMs as part of your daily workflow.
• Nice-to-have: Any exposure to Python, CTV/OTT, or mobile in-app DSP platforms.
• Solution-oriented with a bias toward action.
• Clear communicator who’s comfortable asking questions and collaborating across teams.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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