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Runs scalable customer programs connecting product development and go-to-market teams. Responsibilities include recruiting and engaging customers for pre-PMF testing, coordinating cross-functional stakeholders, establishing operating infrastructure and readiness criteria, managing Customer Advisory Board activities, integrating customer testing into launch processes, and synthesizing feedback into product and GTM decisions.
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Own the full B2B SaaS sales cycle for Dropbox’s Product Suite and emerging AI products, from outbound prospecting and pipeline generation through closing and renewal. Develop mid-market and enterprise opportunities, lead discovery, apply MEDDICC or SPICED qualification and value-selling frameworks, forecast accurately, meet revenue targets, and collaborate with Product and go-to-market teams to refine messaging and sales strategy.
Top Skills:
Salesforce
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Own the full B2B SaaS sales cycle, from outbound pipeline generation through closing and renewal. Build strategic relationships with mid-market and enterprise customers, lead discovery, apply MEDDICC or SPICED qualification, communicate business value, forecast accurately, and consistently achieve revenue targets. Collaborate with internal teams to refine go-to-market strategy, identify new use cases, and influence product and sales initiatives.
Top Skills:
DropboxSalesforce
Role Description
We're looking for a Senior/Staff Data Scientist to partner with Marketing, Brand, Product and Finance teams to answer key questions about the effectiveness of marketing across all our paid and owned channels. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of marketing measurement methods (eg. causal inference, attribution, MMM) and strong technical fluency in scripting(Python/R) and querying(SQL)
Responsibilities- Evaluate and improve our marketing measurement leveraging techniques such as MMM(Marketing Mix Modeling), MTA(Multi touch attribution) and incrementality testing
- Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
- Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
- Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
- Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
- Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
- Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
- Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
- Understand what matters most and prioritize ruthlessly
- Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
- Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- 5-8+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
- Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
- Significant experience with SQL and large unstructured datasets such as Hadoop
- Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
- Solid background in running multivariate experiments to optimize a product or revenue flow
- Strong verbal and written communication skills
- Proficiency in programming/scripting and knowledge of statistical packages like R or Python
- Experience in using open source packages for incrementality tests(e.g. Meta’s Geolift, Google’s Causal Impact) and MMM (Google’s Meridian, Lightweight MMM or Meta’s Robyn)
- Master's or Ph.D. Degree in a quantitative field
- Experience with predictive modeling, machine learning, and experimentation/causal inference methods.
US Zone 1
This role is not available in Zone 1
US Zone 2
$168,300—$227,700 USD
US Zone 3
$149,600—$202,400 USD
Dropbox Los Angeles, California, USA Office
Los Angeles, CA, United States
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