Senior Manager, Machine Learning Engineering – Conversational AI

September 5

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Dropbox

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Cloud Storage • Enterprise • Productivity

Dropbox is a cloud-based service that provides tools for storing, sharing, and accessing files across devices. It offers features such as document sharing, video review, automatic backups, and AI-driven scheduling. Dropbox also provides solutions for different sectors like teams, sales, marketing, and education, and industries including construction, media, technology, and manufacturing. With a focus on security, Dropbox ensures files are encrypted and protected against tampering. It offers integrations with various productivity tools and is trusted by major companies for efficient file management and collaboration.

1001 - 5000 employees

Founded 2007

🏢 Enterprise

⚡ Productivity

📋 Description

• Lead and develop a high-performing team of engineers, fostering individual ownership, and driving impactful outcomes. • Shape and advance 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. • Manage system’s operational health, including on-call duties and connections with external gateway partners. • Define the growth paths and opportunities for team members. • Participate in on-call rotations; applicants are encouraged to ask for rotation details.

🎯 Requirements

• 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. • Experience building 0→1 ML consumer facing products is a huge plus: an ideal candidate has done 0→1 products at large (dropbox-level) scale. • Participate in on-call rotations as part of team Services when applicable.