Senior Machine Learning Engineering Manager, Conversational AI

Posted Yesterday
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Hiring Remotely in Canada
Remote
219K-297K Annually
Senior level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Dropbox isn’t just a workplace—it’s a living lab for more enlightened ways of working.
The Role
Lead a team of engineers to develop Dropbox’s AI product, Dash. Focus on operational excellence, data-driven decisions, and team growth.
Summary Generated by Built In
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. 

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

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.
  • 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.

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

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.
Preferred Qualifications
  • 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
Compensation
Canada Pay Range
$219,300$296,700 CAD

Top Skills

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The Company
HQ: San Francisco, CA
2,500 Employees
Year Founded: 2007

What We Do

We're a global community of bold visionaries and resourceful doers who are shaping the future of Dropbox—and with it the future of work. Our Virtual First model combines the flexibility of a distributed workplace with the power of human connection, making space for both meaningful work and meaningful relationships. With our start-up mindset and enterprise-level opportunities, you can be who you are and grow into who you’re meant to be. Here, you can own your impact to make work more intuitive, joyful, and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself—Dropbox is ready for you.

Why Work With Us

We believe people do their best work when empowered with autonomy and harmony, and we understand there’s no substitute for human connection. Our Virtual First model combines the flexibility of remote work with the power of in-person collaboration to create the best of both worlds: a distributed workplace, anchored in community.

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Employees work remotely.

While remote work is the primary experience for our employees, we also prioritize opportunities for quarterly in-person collaboration knowing that connection is vital to a thriving workforce. We focus on how we work, not where we work.

Typical time on-site: None
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