Role Description

We are a rapidly evolving, technology-driven company dedicated to harnessing the power of AI and data science to revolutionize industries and deliver a more enlightened way to work. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of the business, building intelligent solutions that drive growth and create meaningful impact.

The Head of Data Science and AI Platform will provide visionary leadership for our comprehensive data science and AI initiatives, developing and executing strategies that deliver measurable business outcomes. This role involves balancing innovation in both predictive modeling and generative AI applications, while building and scaling high-performing teams, driving operational excellence, and translating complex data into actionable insights that fuel product innovation and business growth.

Responsibilities

• Define and execute enterprise AI strategies aligned with business goals, while owning delivery of business strategy and measurable impact through direct collaboration with executive teams
• Identify high-value AI opportunities that drive competitive advantage, representing the organization's AI vision through strategic partnerships and industry presence
• Lead comprehensive AI initiatives spanning predictive and generative AI, overseeing development of advanced models and ensuring systems are scalable, efficient, and adhere to responsible AI guidelines
• Drive AI-powered product innovation from ideation to production, partnering with data engineering to build robust infrastructure that supports both traditional and emerging AI applications
• Build and lead high-performing, diverse teams of data scientists and engineers across multiple locations, recruiting and developing top talent in a remote/virtual-first environment
• Foster a culture of excellence that embodies agency, growth mindset, and continuous learning, with clear career development paths aligned with both company objectives and personal growth
• Optimize end-to-end AI operations with bias toward action and high-quality execution, incorporating best practices for data management, model deployment, and monitoring
• Implement rigorous validation protocols and standards while making swift data-driven decisions to deliver impactful outcomes
• Collaborate with product, engineering, data, marketing, and operations teams to identify opportunities for data-driven solutions, translating complex insights into clear, actionable recommendations for all stakeholders
• Promote a data-first culture throughout the organization while demonstrating customer obsession, operating effectively across complex organizational structure

Requirements

• Advanced degree in Computer Science, AI, or related field with 12+ years of data science and/or AI/ML experience in software companies, including 6+ years managing high-performance teams
• Proven track record of driving business impact through data science initiatives across different company scales, from startups to large enterprises
• Comprehensive expertise in both predictive and generative AI technologies, including statistical modeling, machine learning algorithms, data visualization, and their practical business applications
• Experience with large-scale data and ML systems and cloud platforms, combined with strong understanding of responsible AI practices and current industry trends

Preferred Qualifications

• Exceptional business acumen with proven ability to deliver high-quality execution and measurable business impact, demonstrating bias toward action and strategic thinking
• Strong communication skills with experience building high-performing remote/virtual-first teams and cultures that embody agency and growth mindset, able to influence effectively across organizational boundaries

Compensation

US Pay Range

$365,500—$494,500 USD

The range(s) listed above is the expected annual salary/OTE (On-Target Earnings) for this role, subject to change.

Please note, OTE are for sales roles only.

Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).

Dropbox takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location/metropolitan area, skillset, and peer compensation.  We target most new hire offers between the minimum up to the middle of the range.

Dropbox is a Virtual First company and is open to hiring candidates in all authorized locations.

Company Description

Dropbox isn’t just a workplace—it’s a living lab for more enlightened ways of working. We're a global community of bold visionaries and resourceful doers who are shaping the future of Dropbox—and with it the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human connection, making space for both meaningful work and meaningful relationships. With our start-up mindset and enterprise-level opportunities, you can be who you are and grow into who you’re meant to be. Here, you can own your impact to make work more intuitive, joyful, and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself— Dropbox is ready for you.

Team Description

The Dropbox Data Science team transforms data into powerful insights that inform everything we do at Dropbox. Combining applied analytics techniques with deep business insights, we investigate user behavior, product performance, and market trends to uncover new opportunities for growth, optimization, and innovation. Our work is highly collaborative: we work closely with Revenue, Product, and Marketing teams to enable data-driven development and personalized customer solutions. It’s also highly creative, as we experiment to develop tools and dashboards that democratize insights across Dropbox. If you are driven by solving challenging problems and using the power of data to deliver impactful, user-centered products and services, join our Data Sciences team. Areas of work include Applied Analytics, Experimentation, Data Engineering, Machine Learning, Business Intelligence, Data Visualization, and Statistical Modeling.

Benefits

Dropbox is committed to investing in the holistic health and wellbeing of all Dropboxers and their families. Our benefits and perks programs include, but are not limited to:

• Competitive medical, dental, and vision coverage
• 401(k) plan with a generous company match and immediate vesting
• Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh
• Income Protection Plans: Life and disability insurance
• Business Travel Protection: Travel medical and accident insurance
• Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food and groceries, and much more
• Parental benefits including: Parental Leave, Child and Adult Care, Day Care FSA, Fertility Benefits, Adoption and Surrogacy Support, and Lactation Support
• Access to over 10,000 global co-working spaces through Gable.to, making it easy to book flexible workspaces for collaboration or individual work
• Quarterly Cell phone and internet allowance
• Mental health and wellness benefits
• Disability and neurodivergence support benefits

Additional benefit details are available upon request.

Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, enABLE, TODOS (Latinx), Pridebox (LGBTQ), Vets at Dropbox, and Women at Dropbox.