Data Engineering Manager (GTM)

LinkedIn, the world's largest professional network with over 1 billion members, is seeking a Data Engineering Manager to lead their GTM Data Science team. This role presents a unique opportunity to drive impact at massive scale, working at the intersection of B2B and B2C programs.

The position focuses on building Data Foundations that power LinkedIn's monetization efforts, specifically tracking and optimizing customer journey touchpoints throughout their lifecycle. As the lead for the Sales Data Science team, you'll work closely with Sales leaders to develop data foundations that empower Sales insights, operations, and strategy teams.

The role requires a blend of technical expertise and leadership skills. You'll be managing high-performing data science and engineering professionals, balancing short-term agility with long-term strategic priorities. Key responsibilities include leading cross-functional projects, analyzing large-scale data, building scalable tools, and acting as a thought partner to senior leaders.

Technical requirements include experience with Hadoop/MapReduce, proficiency in Spark, SQL, and Scala, and a strong background in data engineering. The position offers competitive compensation ($147,000-$240,000), hybrid work options, and comprehensive benefits including health programs and equity.

This is an excellent opportunity for an experienced data leader who wants to make an impact at scale, working with cutting-edge technologies and diverse datasets. You'll be joining a company that values diversity, trust, and professional growth, with the chance to influence how millions of professionals connect and advance their careers.

The role combines strategic thinking with hands-on technical leadership, requiring someone who can both architect data solutions and guide teams to successful execution. You'll be at the forefront of using data to drive business decisions and optimize customer success in a dynamic, fast-paced environment.

LinkedIn offers a collaborative culture where you'll work with talented professionals across various disciplines. The company's commitment to creating economic opportunity for every member of the global workforce means your work will have meaningful impact beyond just technical achievements.