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 offers a unique opportunity to drive impact at scale, working with massive datasets to power LinkedIn's monetization efforts.

The position combines technical leadership with strategic business partnership, requiring someone who can both manage high-performing engineering teams and collaborate effectively with senior stakeholders. You'll be responsible for building the data foundations that power Sales insights, operations, and strategy teams, while balancing short-term agility with long-term strategic objectives.

As the Data Engineering Manager, you'll lead initiatives across multiple domains including data architecture, analytics, and machine learning. The role involves managing complex projects from inception to completion, mentoring team members, and driving technical excellence. You'll work with cutting-edge technologies including Hadoop, Spark, and various big data tools while solving challenging problems at scale.

The ideal candidate brings both technical depth and leadership experience, with a track record of delivering impactful data solutions. You should have strong communication skills and be comfortable presenting to executives, as you'll be influencing strategy through data-driven insights. Experience with large-scale data systems and a background in either management or staff-level engineering is required.

LinkedIn offers a collaborative culture focused on transformation and growth, with excellent benefits including health coverage, performance bonuses, and equity compensation. The hybrid work environment provides flexibility while maintaining team connectivity. This is an exceptional opportunity to shape the future of professional networking while working with world-class talent and advanced technologies.

If you're passionate about leveraging data to drive business impact and want to lead a team at the forefront of data engineering, this role offers the perfect blend of technical challenge and leadership opportunity. Join LinkedIn to help create economic opportunity for every member of the global workforce through innovative data solutions.