Manager, AI-Augmented Platform Engineering

Job Description Summary:

Manager, AI-Augmented Platform Engineering, Digital Operations 

Being at the forefront of innovation is exciting and leading transformation in a large global organization is a role that many people aspire to. If this is you, we have a transformational role in our newly developed platform services organization.  

The Manager, AI-Augmented Platform Engineering is a hands-on engineering leader responsible for end-to-end delivery of a MarTech platform or major component within a larger product line such as Coca-Cola Consumer Data Platform (CDS) or global CIAM solution Global Access Management (GAM). Reporting to the Director, MarTech Product Development, this leader stays deeply technical, writing critical code in core services, frameworks and complex integrations during high-risk or high-visibility delivery moments, while leading a focused engineering team. The role brings AI-native practices into how the team builds, secures and operates the platform, and treats developer velocity and production reliability. 

What You’ll Do for Us:  

Lead end to end delivery of a high-impact MarTech / AdTech platform or component (for example, a service within CDS or GAM) while remaining deeply hands on, writing critical code in core services, frameworks and complex integrations during high-risk or high-visibility moments. 

Manage and grow a focused engineering team of 6 to 10 engineers across in house and strategic vendor talent, coaching for craftsmanship, accountability and continuous learning. 

Translate architecture and product strategy into executable engineering plans: define milestones, sequence dependencies, manage technical risk, and ensure predictable delivery across globally distributed teams. 

Establish and enforce engineering standards and AI repository guardrails, ensuring AI-generated code is secure, maintainable, pattern-compliant, and resilient against prompt injection, unsafe dependency usage and accidental data exposure. 

Champion developer velocity as a strategic advantage: drive agentic and AI-assisted development, automation, reusable templates, streamlined CI/CD, and paved-road tooling that cut friction and cycle time. 

Drive production excellence across global services: improve observability maturity, incident-response readiness, root-cause-analysis discipline, and reliability practices (SRE/SLOs) that prevent repeat incidents. 

Apply modern data and AI patterns where they add value, including vector search and retrieval-augmented generation (RAG) for personalization, search and grounded AI features, plus AI cost discipline such as token-overhead management and semantic caching. 

Identify systemic bottlenecks in performance, reliability, cost and developer experience, and lead improvements that compound over time across the platform. 

Partner with Product, Architecture, Security and cross functional stakeholders to align scope, sequencing and tradeoffs, maintaining high visibility on progress, risks and dependencies. 

Serve as a role model for engineering leadership: clear technical communication, strong decision-making, calm execution under pressure, and a consistent focus on customer and business outcomes. 

 Qualifications & Requirements   

5+ years of professional software engineering experience, with a proven track record leading technical delivery for high-traffic, production-grade systems, including 2+ years leading or managing engineers. A builder at heart who stays close to the code. 

Expert-level JavaScript / TypeScript, plus strong production experience with systems-level languages (Rust strongly preferred) to optimize performance and reduce runtime overhead. 

Deep architecture expertise: event-driven architectures, API-first patterns, distributed-systems reliability, and modern data platforms (SQL / NoSQL; vector search exposure preferred). 

Strong DevOps & Infrastructure-as-Code mastery (Terraform / CDK), including release engineering, environment governance, CI/CD, and operational best practices. 

AI-enabled engineering (preferred): demonstrated ability to scale engineering productivity through automation and AI-assisted / agentic workflows while maintaining strict security and quality boundaries, including AI repository guardrails and RAG / vector-search patterns. 

Team leadership: experience leading globally distributed teams, including a mix of in house and vendor talent, aligning them around standards, execution plans and delivery outcomes. 

Communication: strong written and verbal communication, able to align stakeholders and explain technical tradeoffs to product, security and business partners. 

Education: Bachelor’s degree in engineering, computer science or related field required. Equivalent combination of relevant education, training and demonstrated experience also considered. 

What We’ll Do for You 

Exposure to World-Class Leaders: Availability to global technology leaders will expand your network and expose you to emerging technologies and techniques.   

Global Connections: Allows you to develop, enhance and maintain global connections that allow us to move faster and learn from others.   

Agile Work Environment: We embrace agile, with management that believes in removing barriers, so you are empowered to experiment, iterate, and innovate  

The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.

Skills:

Agile Methodology, Business Requirements, Communication, Computer Programming, Configuring (Inactive), Data Analysis, Financial Processing, Information Systems, Software Development, Structured Query Language (SQL), Systems Analysis, Systems Development Lifecycle (SDLC), Teamwork, Test Environments, Troubleshooting, Waterfall Model, Workflow Management

Pay Range:

United States of America: 124,600 USD - 148,200 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:

15

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:

August 14, 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.