Role Description

The Dropbox team is growing, and we're looking for an engineering manager to support this growth. In this role, you'll lead a team of engineers to build one of Dropbox’s newest AI offerings, Dash. Our team culture rewards a bias for action, engineering partnership in defining the product, and discipline in how we develop. You'll thrive in our team if you love chasing impact, working through ambiguity, and creating a culture of innovation. Dash is one of the fastest growing products at Dropbox and we need an extraordinary leader to scale the great work we are already doing and to diversify our efforts to continue to grow the business. 

Responsibilities

• Lead and develop a high-performing team of engineers, fostering individual ownership, and driving impactful outcomes.
• Shape and advance the future of Dash, driving product monetization and revenue generation for Dropbox.
• Utilize data and insights to make informed decisions that significantly impact the company.
• Foster operational excellence, streamline processes, and eliminate redundancies to ensure team agility.
• Cultivate a collaborative culture within the team that embodies Dropbox's values.
• Provide strategic direction and proactively anticipate scaling challenges through long-term planning.
• Contribute to the formulation of technical and product strategies.

Requirements

• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• 7+ years of software engineering experience, with at least 3+ years in direct management roles.
• Proven track record of setting visionary goals and delivering iterative progress.
• Strong expertise in distributed systems or backend infrastructure at scale.
• Exceptional analytical capabilities to optimize solutions in complex and dynamic environments.
• Ability to mentor and guide team members to maximize their impact.

Preferred Qualifications

• PhD in Computer Science or related field with research in machine learning
• Experience with one or more of the following: natural language processing, recommendation systems, machine learning for information retrieval, machine learning on mobile devices