Senior Data Science Manager, AI Products
Role Description How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey?
What this role actually needs.
Role Description How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? Responsibilities: - M anage and scale a high performing team of data scientists - Coach and mentor data scientists of varying experiences to ensure their continued growth - Plan, execute, and deliver a profolio of mission-critical data science projects for Dash Experience, and provide technical leadership in a fast-paced environment - Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies - Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written - Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements: - Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field - 10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company - 3+ years of experience directly managing data scientists or product analysts - Proven track record of managing a portfolio of Data Science projects that improve user experience and driv e measurable business impact - Deep understanding of statistical analysis, experimentation design, and common analytical techniques - Experience using data to inform product and business decisions that led to measurable outcomes Company context: Dropbox is the public smart-workspace company building file collaboration, signature, and AI-assisted document tools.
Day-to-day expectations
Dropbox lists these responsibilities for the Senior Data Science Manager, AI Products role.
- M anage and scale a high performing team of data scientists
- Coach and mentor data scientists of varying experiences to ensure their continued growth
- Plan, execute, and deliver a profolio of mission-critical data science projects for Dash Experience, and provide technical leadership in a fast-paced environment
- Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies
- Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written
- Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 10+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company
- 3+ years of experience directly managing data scientists or product analysts
- Proven track record of managing a portfolio of Data Science projects that improve user experience and driv e measurable business impact
- Deep understanding of statistical analysis, experimentation design, and common analytical techniques
- Experience using data to inform product and business decisions that led to measurable outcomes
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Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
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Source: jobs.dropbox.com · Source ID: 7512372 · Confidence: 88/100 · Last checked: May 7, 2026
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