Dropbox is evolving to integrate AI into its core File, Sync, and Share (FSS) experience, aiming to make the platform smarter, simpler, and more useful for its millions of users by embedding AI-powered features like universal search, summarization, and AI-driven onboarding.
Requirements
- 6+ years of software engineering or related industry experience, with at least 1–2 years building AI/ML-powered product experiences.
- You’ve built and shipped AI/ML-powered product features with real users.
- Experience with semantic search, embeddings, or LLM-based UX patterns.
- Proven ability to ship end-to-end features in production (not just prototypes or research demos).
- Comfortable working full-stack or across system boundaries (frontend, backend, infra, ML platform).
Responsibilities
- Design and build AI-powered product experiences directly into the Dropbox FSS flow.
- Collaborate with product and design partners to bring Dash capabilities (search, ask, summarize) into the Core experience.
- Use AI to simplify key user journeys, like onboarding and team setup.
- Work end-to-end: define, prototype, ship, and iterate on features in production.
- Drive the integration between Dropbox’s AI platform and product surface areas.
Other
- You have strong product instincts and thrive in ambiguous problem spaces.
- You can work across the stack and enjoy partnering closely with product, design, and AI platform teams.
- Strong product sense, with experience defining and refining user-facing functionality.
- 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.
