Engineering Manager, Data Infrastructure

Role Description

At Dropbox, we believe in simplifying the way people work together. We provide a range of innovative cloud-based solutions to empower individuals and businesses to share, access, and collaborate on their files seamlessly. Engineering Managers are pivotal in shaping our mission of building a more enlightened way of working where everyone can unleash their creative potential without constraints.

As an Engineering Manager, you’ll thrive in leading our Analytic Platform team if you love chasing impact, working through ambiguity, and developing a culture of innovation. In this role, you’ll lead a team of 5-10 engineers, leveraging your robust managerial toolbox to drive direct business and customer impact independently. You’ll work closely with your direct reports, cross-functional partners, and other teams to build the future of Dropbox. Our team culture rewards a bias for action, engineering partnership in defining our strategy, and efficient operational excellence. The ideal candidate will possess strong leadership skills, technical expertise, and a passion for driving results in a collaborative, virtual-first environment.

Responsibilities

• Help define the future direction for data orchestration at Dropbox and lead a team toward that vision
• Collaborate with cross-functional stakeholders to translate feedback and feature requests into technical requirements
• Drive results by identifying impactful opportunities and ensuring long-term growth and customer impact.
• Inspire your team with a clear direction, fostering an environment where innovation flourishes and bold ideas are encouraged.
• Foster talent development by supporting personal growth, career advancement, and diverse hiring practices.
• Cultivate a collaborative and inclusive culture, championing team members and upholding our company values.
• Ensure software and architecture excellence through quality feedback, risk mitigation, and alignment with technical strategy and business goals.

Requirements

• Working knowledge of industry standard big data tools and platforms (e.g. Databricks, Snowflake, Airflow, etc.)
• BS, MS, or PhD in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent technical experience
• Minimum of 3 years of people management experience with an engineering team
• Minimum of 5 year as a software engineer or equivalent technical experience