Principal, Marketing AI Applications

Job Description Summary:

The North America Marketing Data team is responsible for building the data & engineering capabilities, and AI-powered solutions that enable better marketing decisions across North America. The organization connects data, technology, and insights to create scalable capabilities that improve consumer understanding, marketing effectiveness, measurement, personalization, and AI-driven decision making.

Role Overview

The Principal, Marketing AI Applications will be a hands-on technical leader responsible for designing, building, deploying, and improving AI-powered applications, portals, copilots, and intelligent workflows that deliver measurable value for marketers.

Working closely with Marketing, MarTech, Analytics, Data Engineering, Architecture, and central technology teams, this player-coach will translate business needs into production-ready solutions through rapid prototyping, application and code development, and technical delivery. The role will leverage enterprise platforms and establish reusable frameworks and integration patterns that can scale from North America to global markets.

What You Will Do for Us

Build Marketing AI Applications

Develop AI-powered portals, copilots, workflow tools, self-service experiences, and decision-support applications that improve how marketers access information, collaborate, and make decisions.

Lead Product & Engineering Delivery

Design, prototype, build, test, deploy, and improve full-stack AI applications. Write and review production code, establish engineering patterns, and work directly with enterprise engineering teams to move solutions from concept into reliable production use.

Operationalize AI Experiences

Embed Generative AI, Agentic AI, conversational interfaces, intelligent search, and automation capabilities into business-facing applications.

Integrate Enterprise Platforms

Create secure integrations across Adobe Experience Platform, Adobe Customer Journey Analytics, Microsoft Fabric, Azure AI services, CRM platforms, MarTech solutions, and approved enterprise technologies.

Design for Enterprise Scale

Build reusable components, APIs, and frameworks that support adoption across brands, categories, and global markets.

Accelerate Business Adoption

Partner directly with marketers and business stakeholders to ensure solutions are intuitive, adopted, and embedded into everyday workflows.

Influence Enterprise AI Strategy

Collaborate with Architecture, Engineering, Security, Privacy, and Digital Technology teams to ensure alignment with enterprise standards while contributing reusable capabilities back to Coca-Cola's broader technology ecosystem.

Qualifications & Requirements

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field; advanced degree preferred.

• 10+ years of software, application, platform, or AI engineering experience, including recent hands-on development of production applications.

• Strong full-stack development experience with React or Next.js, TypeScript or JavaScript, Python, APIs, microservices, and cloud-native design.

• Experience building and deploying AI applications using LLMs, RAG, copilots, conversational interfaces, and agentic frameworks.

• Experience with Azure, Azure AI services, GitHub, CI/CD, containers, observability, application security, and production support.

• Experience integrating enterprise platforms and SaaS applications, preferably including Adobe Experience Platform, Customer Journey Analytics, CRM, CDPs, or MarTech solutions.

• Demonstrated ability to personally prototype and build solutions while providing technical direction, code reviews, and engineering guidance to internal and partner teams.

• Ability to translate marketing needs into secure, intuitive, reusable applications that align with enterprise architecture and engineering standards.

All persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form (Form I-9) upon hire.

Skills:

Agentic AI, API Development, Artificial Intelligence (AI), Azure OpenAI Service, CI/CD, Cloud Architectures, Conversational AI, Full Stack Development, GitHub, JavaScript, Kubernetes, Marketing, React.js, Software Engineering, Solutions Design

Pay Range:

United States: 169,000 - 200,000 USD

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.

Annual Incentive Reference Value Percentage:

30

Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

Location(s):

United States of America

City/Cities:

Atlanta

Travel Required:

00% - 25%

Relocation Provided:

No

Job Posting End Date:

September 10, 2026

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.