The Machine Learning - Go to Market team builds & applies ML models to drive Dropbox Wide Growth initiatives, leveraging a high fidelity understanding of users, content, and context, and support go-to-market strategy. This software engineering team sits within ‘Growth and Data’ organization, which seeks to leverage data to help make better business decisions. The team partners with Growth and Product teams to develop models, systems and features that leverage the massive scale of Dropbox’s user base to understand and predict user behavior to optimize the experience at all stages of the user journey at Dropbox. The team’s work on revenue impact has been often highlighted in Dropbox quarterly earning calls.
We're looking for a Machine Learning, Engineering Manager, who will build and lead a team of ML engineers to partner with growth, revenue, and product teams to answer key questions about how to grow revenue & scale the business via enabling better understanding of users through segmentation efforts. You’ll work alongside data science, product, engineering, design, marketing and research executives to advise on the company’s most impactful quantitative projects and achieve its most strategic business goal. You will work on process and infrastructural improvements to improve scalability and turnaround times. 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 developing a culture of innovation.
To do this, you’ll align your teams’ roadmap to business objectives, and communicate insights & impact broadly across multiple leadership teams. You’ll also have the unique opportunity to influence growth teams through crafting strategies like personalization, upsell & cross sells. This role is highly strategic and uniquely is positioned to drive multiplier impacts for Dropbox as we continue to innovate and expand our core products. At the same time, you will get to lead an amazing team of talented ML engineers to shape the future of our business.