Product Manager, New Frontiers – Intelligence at Dropbox

Product Manager, New Frontiers – Intelligence – Location Flexible

San Francisco, CA; Remote – US

Company Description

Dropbox is now a Virtual First company, which means work outside of an office will be the primary experience for all employees. The location listed on the job description is simply so our jobs get picked up by job boards as they require a specific location. Being Virtual First means, location is flexible, so please feel free to apply to any position regardless of the location listed. Final location will be determined, by teams and individuals as the hiring process unfolds.

Dropbox is the world’s first smart workspace that helps people and teams focus on the work that matters. With more than 600 million registered users across 180 countries, we’re on a mission to design a more enlightened way of working. Dropbox is headquartered in San Francisco, CA, and has 12 offices around the world.

Team Description

Our Product team advocates for our users and our business, setting the vision for our growing family of products. We use data, research, strategy, and empathy to guide multidisciplinary teams toward a common goal, balancing diverse perspectives and empowering our teams to do great work. As we scale globally, there’s plenty of space for you to grow alongside us and simplify life for millions of people around the world in team that always focuses on we, not I, and creates delightful products that are worthy of trust.

Role Description

This role offers an exciting opportunity to work across our customer segments to identify which use cases and opportunities are best tackled with machine learning. Dropbox cannot fulfill our mission of enabling an enlightened way of work without investing in technologies that deliver an outstanding experience to our users at scale — machine learning is a critical part of that investment.

As a Product Manager on the Intelligence team, you will build the vision and strategy for how we maximize the value of our machine learning platform across our portfolio of products to deliver the greatest value for our users. You will be a subject matter expert on applying ML to Dropbox products, advising which problems are best tackled with ML and partner closely with product managers, researchers and designers to prioritize, design and deploy applied ML experiments that drive business impact. You will ideate, design and partner to deploy experimental ML-forward products that aim to empower Dropbox consumer and professional users alike.

In this role, you will partner with an elite team of Machine Learning Engineers, Designers, Researchers, and Analysts to understand users’ needs and build ML solutions that help users do more with Dropbox.

Responsibilities

• You will be a key player in turning Dropbox’s intelligence strategy into a prioritized roadmap of initiatives and executing in a constantly evolving technical and market landscape
• You will inform and expand Dropbox’s understanding of data assets (user, activity, content) through your work
• You will identify new opportunities to improve products for users and drive outsized impact through AI/ML
• You will maintain a solid understanding of in-flight projects and features across Dropbox and be an internal champion for adoption of smart capabilities
• You will improve Dropbox’s intelligence platform across segment and surface by deploying new and compelling building blocks

Requirements

• 5+ years of product management experience, ideally with productivity and collaboration products or AI/ML technologies and platforms
• User-driven approach embodied in past work that meaningfully translate customer problems into solutions that leverage intelligence
• Demonstrated ability to successfully craft and deploy 0-to-1 features and functionality, and package them for reuse
• Demonstrated technical proficiency and effectiveness working closely with senior engineers
• Strong influence and cross-functional collaboration skills; able to create clarity and drive focus in complex and dynamic contexts
• Nice to Have: BS or MS in computer science, data science, machine learning or equivalent experience as an Engineer, Designer, Researcher

Benefits and Perks

• 100% company paid individual medical, dental, & vision insurance coverage
• 401k + company match
• Market competitive total compensation package
• Free Dropbox space for your friends and family
• Wellness Reimbursement
• Generous vacation policy
• 10 company paid holidays
• Volunteer time off
• Company sponsored tech talks (technology and other relevant professional topics)