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Mondelēz International

Mumbai
90,000 Total Employees
Year Founded: 2012

Mondelēz International Innovation & Technology Culture

Mondelēz International Employee Perspectives

The company takes AI/ML seriously. All AI use cases are reviewed by leadership. This structured approach ensures that our AI initiatives are innovative and strategically aligned with business goals.

The future of AI at Mondelēz looks incredibly promising. Our goal is to leverage these advanced technologies to drive efficiency, creativity and strategic decision-making across all levels of the company.

At Mondelēz International, innovation is fueled by speed, experimentation, and the ability to adapt quickly to changing consumer needs. By empowering local teams and embracing a test-and-learn approach, the company continuously refines how it operates and scales what works across the business.

“We focus on speed and agility to perfect our processes. In order to react faster to the marketplace, our local teams and brands have the ability to drive their own operations to meet the needs of their consumers nearby. Part of our process includes a test-and-learn concept where we try new ideas and if they are successful, roll them into other areas of the business.”

Mondelēz International,

At Mondelēz International, innovation comes to life through a willingness to experiment, invest in new technologies, and push boundaries in how products are developed and delivered. This hands-on approach to testing and scaling new ideas reflects a culture that embraces curiosity and continuous advancement:

“We’re at the forefront of new packaging technology. My first day in the pilot plant, which is where all the new machines are, really spoke to me about how eager the company is to try new things—and it was just jaw-dropping.”

Sam, Research & Development Intern

At Mondelēz International, innovation is increasingly powered by advanced technologies that enhance how the business operates and makes decisions. By embracing AI, the company is unlocking new ways to drive efficiency, spark creativity, and enable smarter, more strategic outcomes.

“The future of AI at Mondelēz looks incredibly promising. Our goal is to leverage these advanced technologies to drive efficiency, creativity, and strategic decision-making across all levels of the company.”

At Mondelēz International, innovation is guided by a thoughtful and structured approach to emerging technologies. By aligning AI initiatives with business priorities and maintaining strong leadership oversight, the company ensures that innovation is both responsible and impactful.

“The company takes AI/ML seriously. All AI use cases are reviewed by leadership. This structured approach ensures that our AI initiatives are innovative and strategically aligned with business goals.”

Lin Xin
Lin Xin, Data Science Lead, Frontier & Delivery

What People Are Saying About Mondelēz International

  • Investment in R&D: The company invests over $350M annually in R&D across 11 Technical Centers and opened a nearly $50M Global R&D Innovation Center in Whippany, indicating sustained capability building. Feedback suggests this scale enables faster formulation, sensory work, and packaging engineering across core brands.
  • Emerging Technology Adoption: Mondelēz is deploying AI for product development and marketing (e.g., Galaxy AI, AIPD tool) and executing a $1.2B ERP and supply-chain modernization alongside IoT, blockchain, and factory digitalization. Feedback suggests these tools compress development cycles from years to months and strengthen demand planning, traceability, and commercialization speed.
  • Innovation Operating Model: Structured vehicles like SnackFutures, CoLab Tech, and an open innovation portal—combined with corporate venturing and targeted M&A—bring in next‑gen ingredients, packaging, and process technologies. Feedback suggests this ‘partner-and-scale’ model creates a formal on‑ramp from startup pilots to global brand platforms.

Mondelēz International's Tech Stack

Java
Java
LANGUAGES
Python
Python
LANGUAGES
SQL
SQL
LANGUAGES
Terraform
Terraform
FRAMEWORKS