Senior Manager, Machine Learning Engineering – Conversational AI

Dropbox

full-time

Posted on: 9/6/2025

Origin: • 🇨🇦 Canada

✨ AI Apply

💰 CA$219,300 - CA$296,700 per year

Senior

About the role

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 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 operational health, including on-call duties and connections with external gateway partners
Define the growth paths and opportunities for team members

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 AI Agents, Chatbots, Search, or Information Retrieval domains
Strong emphasis on using data-driven insights to guide decision-making, 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
Willingness to participate in on-call rotations as part of team responsibilities
Experience building 0→1 ML consumer facing products (preferred)