Dropbox is looking to embed AI-powered universal search, Dash, into its File, Sync, and Share experience to make it smarter, simpler, and more useful for users.
Requirements
- 8+ 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.
- You can work across the stack and enjoy partnering closely with product, design, and AI platform teams.
- 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
- BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience.
- Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours.
- You have strong product instincts and thrive in ambiguous problem spaces.
- Strong product sense, with experience defining and refining user-facing functionality.
- Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.
