Data Engineering Manager (GTM)

LinkedIn, the world's largest professional network, is seeking a Data Engineering Manager for their GTM Data Science team. This role offers a unique opportunity to lead and shape the data foundations that power LinkedIn's sales insights and customer journey optimization.

The position combines technical leadership with strategic business impact, requiring someone who can bridge the gap between data engineering excellence and business outcomes. You'll be working with a massive dataset of over 1 billion members, applying advanced analytics and machine learning techniques to drive member engagement and business growth.

As the lead for the Sales Data Science team, you'll partner directly with Sales leaders to build robust data foundations that power insights, operations, and strategy. The role requires balancing short-term agility with long-term strategic data initiatives, making it perfect for someone who enjoys both technical depth and business strategy.

Key aspects of the role include managing high-performing data science teams, developing executive metrics, creating automated dashboards, and implementing machine learning solutions. You'll work with cutting-edge technologies including Hadoop, Spark, and various MapReduce paradigms, while also having the opportunity to influence company-wide data strategy.

The ideal candidate will bring both technical expertise and leadership skills, with experience in data engineering and analytics focused on business problems. You'll benefit from LinkedIn's strong culture of employee well-being, competitive compensation, and the opportunity to work in a hybrid environment that balances flexibility with collaborative team interactions.

This role offers the chance to make a significant impact at scale, working with one of the world's largest professional datasets while helping shape the future of how professionals connect and grow their careers. If you're passionate about data engineering, team leadership, and driving business impact through data-driven decisions, this role provides an excellent opportunity to advance your career at a leading tech company.