Data Science Manager, Sales

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.

The Role

The Sales Data Science team at Block plays a pivotal role in enhancing our global sales capabilities through data-driven insights, automation, and strategic analytics. We are seeking an experienced Data Science Manager to lead and transform our Sales Data Science team during an exciting transition from regional to global operations. This role will be instrumental in building strong partnerships with Sales Operations, Finance, and Regional Sales leaders while driving innovation in sales automation through collaboration within our internal AI, Data & Analytics (AiDA) teams.

Your team will be highly visible, working directly with stakeholders across Block to develop and implement data science solutions that drive sales effectiveness and efficiency. You'll be reporting to the head of Marketing + Commerce DS and be responsible for standardizing processes while building a clear global operating model that increases the DS team’s impact across regions. Through close collaboration with Sales Ops and Regional Heads of Sales, you'll develop roadmaps focused on key areas including enterprise merchant uupport, sales performance analytics, lead generation marketing, and sales automation initiatives.

You Will

• Lead: A team of 6 data scientists who support the Commerce Sales team within Block
• Bring a Strategic Vision: Drive the development and implementation of a global operating model for the Sales Data Science team, creating standardized processes and clear roadmaps that align with Commerce Sales priorities
• Drive Automation: Partner with AiDA and Sales Operations to identify, build, and implement automation solutions that increase sales team throughput, including the development of integrated data tools that enhance sales capabilities
• Build Team Excellence: Lead the development of the team through hiring key senior talent, guiding the transition from regional to global operations, and fostering a culture of continuous learning and development
• Manage Stakeholder Relationships: Build and maintain strong partnerships with Sales Operations, Finance, and Regional Heads of Sales, ensuring clear communication channels and consistent delivery of high-impact solutions
• Define and Track Success: Establish clear metrics for team performance, project delivery, and stakeholder satisfaction while creating feedback mechanisms to continuously improve team effectiveness

We're Targeting

• An L7 hire - 10+ years of experience in data science or analytics, with 5+ years of people management experience 
• A deep technical background with expertise across SQL, Python, data modeling and data visualization tools (Tableau, Looker, etc.)
• Extensive work with analysis, experimentation, causal inference and other statistical approaches
• A proven track record of leading data science teams in a global context, building and maintaining stakeholder relationships at senior levels and helming complex, cross-functional projects
• Experience with sales analytics and sales operations

Technologies We Use and Teach

• SQL, Snowflake, etc.
• Python (Pandas, Numpy)
• Tableau, Airflow, Looker, Mode, Prefect

We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page.

Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.