Associate, Paid Search

1-2 years experience in an agency or startup environment.

Ability to apply spreadsheet formulas effectively in real-world use cases (e.g., ad customization and data analysis) with minimal oversight.

Strong attention to detail and commitment to QA to ensure data accuracy for internal teams and clients.

Working knowledge of paid search platforms and tools, including Google Ads UI, Google Ads Editor, and other channel-specific platforms.

Experience uploading and editing campaigns, ads, keywords, targeting methods, placements, and negative keywords.

Understanding of core SEM metrics (e.g., CPC, CTR, CVR) and how they relate to performance outcomes.

We enjoy spending time together, working closely with other local colleagues, and getting to know one another. Our Buenos Aires offices (Villa Crespo or Mar del Plata) are fully equipped with refreshments and great common spaces!

Premium healthcare through OSDE for the employee and their immediate family members

Prepaid card with a monthly allowance for grocery purchases

Monthly reimbursements for Wi-Fi/electricity expenses

Monthly reimbursements for training/English classes

100% covered “Plan Total” membership at Sportclub

Your primary function will be to learn the fundamentals of Paid Search Engine Marketing while providing vital production and execution support for your account team.

You will master the platforms, safeguard our data quality, and gain the technical skills necessary to progress into advanced account management roles.

Execute day-to-day paid search account management across platforms including Google Ads and Microsoft, supporting campaign launches, optimizations, and maintenance.

Pull, analyze, and interpret performance reports at multiple levels (campaign, ad group, keyword, audience, placement, device) to identify trends and insights.

Support campaign builds by contributing to strategy, structure, keyword selection, settings, and ad development.

Assist with bid management by applying appropriate bidding strategies and making data-driven bid adjustments.