Dropbox is a Virtual First company. For this role, we are hiring in Zones 2 and 3. Please refer to our Compensation section below to see what neighborhoods fall under each Zone.
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? As the Sr Data Science Manager for Dash Experience, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business.
Joining on the ground floor of this startup team, you’ll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way!
Responsibilities
- Manage 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
- Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities’ long-term growth
- Identify what matters most and prioritize ruthlessly
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 drive 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
- Exceptional verbal and written communication skills
Preferred Qualifications
- Experience in startups or building 0→1 products
- Expertise in using data to inform AI/ML product development
- Background in SaaS product
Compensation
US Zone 1
This role is not available in Zone 1
US Zone 2
$210,400—$284,600 USD
US Zone 3
$187,000—$253,000 USD
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 uses the zip code of an employee’s remote work location to determine which metropolitan pay range we use. Current US Zone locations are as follows:
- US Zone 1: San Francisco metro, New York City metro, or Seattle metro
- US Zone 2: California (outside SF metro), Colorado, Connecticut (outside NYC metro), Delaware, Illinois (Chicago metro), Indiana (Chicago metro), Maryland, Massachusetts, Michigan (Chicago metro), New Hampshire, New Jersey (outside NYC metro), New York (outside NYC metro), Oregon, Pennsylvania (D.C. metro), Pennsylvania (outside NYC metro), Texas (Austin metro) Virginia (DC metro), Washington (outside Seattle metro), Washington DC metro, West Virginia (DC metro), Wisconsin (Chicago metro)
- US Zone 3: All other US locations
Company Description
Dropbox isn’t just a workplace—it’s a living lab for designing a more enlightened way of working. We’re a global community of bold visionaries and resourceful doers shaping the future of Dropbox and, in turn, the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human connection, creating space for meaningful work and lasting relationships. With a startup mindset and enterprise-level opportunities, we expect Dropbox employees to think critically, stay curious, and use modern tools, including AI, to improve how work gets done. Here, you can be who you are and grow into who you’re meant to be. You own your impact, helping make work more intuitive, joyful, and human for yourself and hundreds of millions of people worldwide. If you’re ready to push boundaries and challenge yourself, Dropbox is ready for you.
Team Description
The Dropbox Data Science team turns data into insights that shape every decision we make. We uncover customer needs, investigate trends, and help teams set ambitious goals — then guide them toward the smartest ways to achieve them. Partnering with Revenue, Product, and Marketing, we create data-driven strategies, personalized solutions, and tools 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.
Virtual First
Dropbox’s Virtual First way of working is designed to help people do their best work with flexibility, autonomy, and connection. Day to day, teams work remotely with nonlinear schedules and core collaboration hours that support deep focus and individual working styles. We prioritize asynchronous communication to improve clarity, respect deep work time, and reduce unnecessary meetings. While remote work is the primary experience for our employees, we also prioritize intentional, in-person connection. We bring teams together through regular team gatherings, on-demand workspaces, and Dropbox Neighborhood events in order to strengthen team cohesion, foster creativity, and enhance momentum. Virtual First is built to provide the same access to opportunity, growth, and impact for everyone, regardless of location.
This role requires travel to offsites and various other team gatherings (approximately 5-10% of the year or 2-3 days per quarter). We provide advance notice when possible and encourage candidates to discuss any accommodation needs during the interview process.
Dropbox supports responsible use of AI for preparation, but misrepresentation of skills or experience is not permitted. See our AI Principles.
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.