Senior Engineering Manager, Data

March 15

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Logo of Frequence

Frequence

Frequence is a unified platform designed to enhance media sales innovation, enabling sales teams to create intelligent proposals, automate workflows, and generate detailed performance reports. With a focus on increasing automation and streamlining operations, Frequence's integrated technology provides solutions for media companies and agencies, allowing them to optimize their advertising strategies and drive business growth.

Sales Automation • Workflow Software • Ad tech • Advertising Sales

📋 Description

• Frequence is the only end-to-end platform for media companies and agencies to grow and automate their advertising sales and operations while integrating owned and operated media. • We are seeking an experienced Senior Engineering Manager to lead our Intelligence and Measurement team. • Your ability to anticipate challenges, manage risks, and deliver impactful results will be essential to this role. • We're the driving force behind Madhive's Intelligence and Measurement. Our mission? To empower our customers with crystal-clear insights into their campaigns. • We build the tools that turn terabytes of data into actionable intelligence, ensuring every ad dollar works its hardest.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent work experience. • 10+ years of experience in software development, including 5+ years in leadership roles managing managers and leading high-performing engineering teams. • A deep understanding of design patterns, software development methodologies, and distributed systems architecture. • Hands-on experience with relevant technologies and tools, such as Airflow, Spark, and streaming architectures. • Well-versed in data pipelining, data warehousing, data modeling, data streaming, streaming architectures, database performance and ETL processes. • Highly proficient in driving complex cross-functional projects, managing risks, and ensuring successful execution. • Experience in cloud infrastructure (preferably GCP) and have built large-scale, distributed systems with a focus on reliability, observability, and cost efficiency. • Excel at collaboration and can effectively engage with executive leadership, Directors, and cross-functional partners to align engineering efforts with company goals. • Foster a culture of growth, accountability, and psychological safety, ensuring that both managers and individual contributors are supported in their career development. • Data-driven, using metrics and analytics to track team performance, identify areas for improvement, and drive strategic decisions.

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