Own Dropbox’s end‑to‑end AI strategy across predictive & generative, scale the platform, and turn data into business impact.

• Define enterprise AI strategy aligned to company goals; identify high‑value AI opportunities and represent the vision externally.
• Lead full‑stack AI initiatives from ideation to production, partnering with data engineering to build robust infra and ML systems.
• Build and develop distributed, high‑performing data science & engineering orgs in a remote/Virtual‑First model.
• Establish responsible‑AI standards, validation, monitoring, and model operations at scale.

• Advanced degree in CS/AI or related field; 12+ years in DS/ML with 6+ years building & leading high‑performance teams.
• Depth across predictive & generative AI, statistical modeling, ML systems at scale, and cloud platforms.
• Proven track record shipping AI products and driving measurable business outcomes across startup → enterprise.

• Dropbox · ~2,500 employees · Founded 2007 · HQ San Francisco; Virtual‑First with quarterly in‑person collaboration.
• Platform areas: AI/ML, data platforms, storage systems, security, performance, and global scale infrastructure.

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