Senior Machine Learning Engineering Manager, Dropbox

• You'll thrive in our team if you love chasing impact, working through ambiguity, and creating a culture of innovation
• MS degree or PhD in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• 10+ years of software engineering experience, with at least 5+ years in direct management roles
• Proficient in the latest advancements in ML, NLP, LLM, and GenAI
• Drive and ability to move forward in spite of ambiguity with a bias for action
• Proven expertise in the application of ML techniques to address practical challenges in real-world scenarios, spanning AI Agents, Chatbots, Search, or Information Retrieval domains
• Strong emphasis on using data-driven insights to guide decision-making processes, including A/B testing and experimentation
• Proven track record of setting visionary goals and delivering iterative progress
• Exceptional analytical capabilities to optimize solutions in complex and dynamic environments
• Ability to mentor and guide team members to maximize their impact

Desirable

• 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
• 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
• 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
• Define team’s OKRs and manage the executions
• Work closely with business partners and peer teams for project priorities and requirements
• Manages system’s operational health, including on-call duties and connections with external gateway partners
• Define the growth paths and opportunities for team members