Engineering Manager, Targeting

🇺🇸 New York, New York
$2K - $3K Annual
Posted 1 month ago
Expires June 9, 2026

Madhive is the leading independent and fully customizable operating system built to help local media professionals build profitable, differentiated, and efficient businesses. Madhive empowers sales teams to extend their reach into streaming and connects local advertisers with the communities they serve. Madhive’s platform provides the unique ability to reach local audiences at national scale, with premium supply partnerships and end-to-end tools for planning, targeting, and measuring full-funnel campaign outcomes. Powering campaigns for over 30,000 small and medium businesses per day, Madhive is driving the evolution of local media. 

Madhive is seeking an experienced Engineering Manager to join our Targeting team. The team's core responsibility lies in ingesting, processing and organizing data used to identify and target individuals for ad campaigns, and to build/maintain the foundational data science behind our forecasting tools. The successful candidate will lead a small team of world-class cross-functional engineers, possessing a strong background in both technical leadership and data-driven forecasting methodologies. You will drive efficiencies in our processes, tools, and automation, taking a data-driven approach to measuring your team's success.

Our team strives to be motivated only by building the best software for our users. We seek to understand the "why" behind the "what." We regularly tackle problems, learn new technologies, or just share what we know with others. We test our code and invest in the health of our systems. We push each other, learn from each other, and strive to grow continually.

This is a hybrid role, working 2-3 days a week at Madhive HQ in the Financial District of New York City.

What you'll do:

- Lead and manage a team of cross-functional engineers responsible for the design, development, and maintenance of streaming data pipelines, data partner integrations, data warehousing, forecasting and ML-driven audience construction in...

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