Senior Engineering Manager, Core AI Platform

October 24

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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

• Directly manage up to 20 direct reports, as a single execution unit • Partner with multiple Product Managers to plan roadmaps and sprints • Be accountable for high quality execution on critical and high visibility business objectives • Be responsible for making tradeoffs between feature work and addressing long term technical debt • Be responsible for excellence in software quality, engineering practices and operations • Lead the team through standard Agile processes, such as backlog management, stand ups, retros, etc. • Review and approve engineering designs and be able to set technical direction (in collaboration with a Technical Lead) • Drive cross-org initiatives alongside managing execution responsibilities • Drive career conversations and career plans for your direct reports

🎯 Requirements

• BS, MS, or PhD in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent technical experience • Minimum of 8 years of people management experience with an engineering team • Minimum of 10 years as a software engineer or equivalent technical experience • Must have experience managing engineering organizations of 20 or above and experience managing managers • Must have experience building or integrating with AI products • Must have worked in a platform team or a developer-facing API product with both internal and external consumers • Must have experience running a standard Agile process such as backlog management, stand ups, retros, etc • Must be results-driven, especially good at balancing execution predictability with the agility needed in bringing a new product to market.