BEES' mission is to transform the sales model by putting the customer at its heart. They are an e-commerce & SaaS company providing retailers and partners with all the tools, data, and insights they need to make their business thrive.

Information Technology

BEES

BEES' headquarters in New York, NY, United States

This department oversees the development and execution of products and programs, ensuring strategic alignment and effective planning.

Product and Program Management

The Product Management team at BEES oversees the development, strategy, and execution of digital products that align with the company’s mission to enhance the e-commerce and SaaS experience. They collaborate with different departments to create tools, leverage data, and generate insights that empower retailers and partners to grow their businesses effectively.

Product Management

This department is responsible for designing, developing, and maintaining software applications and systems.

Software Development

This department focuses on driving business expansion, product marketing, and customer success initiatives across global markets for BEES.

BEES Global Development

The Data Science and Analytics team at BEES leverages advanced data analytics and machine learning models to provide actionable insights and innovative solutions, aimed at enhancing customer experiences and optimizing business strategies. This team collaborates closely with various departments to ensure data-driven decision-making, supporting BEES' mission to empower retailers and partners with the tools and information necessary for business growth.

Data Science and Analytics

This department focuses on ensuring that products meet quality standards through testing and analysis.

Quality Assurance

This department focuses on the design, development, and management of data infrastructure and systems to support analytics and data-driven decision making.

People (5)

Jobs (0)

Other teams

Product Management

Software Development

BEES Global Development

Data Science and Analytics

Quality Assurance

Data Engineering