Block, Inc. is Square, Cash App, Spiral, TIDAL, TBD, and their foundational teams such as Counsel, Finance, and People that provide guidance at the corporate level. These are its building blocks, united by the shared purpose of economic empowerment. Block is creating tools to help expand access to the economy. 

FinTech

Software

Block

Block's headquarters in San Francisco, CA, United States

The New York office focuses on software engineering, financial strategy, data science, and regulatory compliance.

New York

The Toronto office focuses on technology development, data science, and business strategy for innovative financial solutions.

Toronto

This department is responsible for collecting, analyzing, and interpreting complex data to support decision-making and drive business insights.

Data Analytics

This department focuses on designing, building, and maintaining software solutions to meet organizational needs.

Software Development

This department focuses on financial planning, analysis, and strategic development to support the Cash App and Afterpay initiatives.

Finance and Strategy

This department oversees engineering operations, ensuring the successful execution of projects and the development of engineering talent.

Engineering Management

This department focuses on developing and implementing machine learning models and systems to enhance data-driven decision making.

Machine Learning Department

The Human Resources team at Block is responsible for cultivating a supportive and efficient environment for all employees across its various business units, such as Square, Cash App, Spiral, and TIDAL. They manage employee engagement, internal communications, talent acquisition and management, payroll, benefits, compliance, and strategic HR initiatives. Their aim is to enhance employee satisfaction and drive organizational success by aligning HR practices with Block's overarching mission of economic empowerment.

People (81)

Jobs (0)

Other teams

Software Development

Finance and Strategy

Engineering Management

Machine Learning Department

Human Resources