Software Engineering Manager, AI Platforms

Job description

The Manager, AI-Augmented Platform Engineering is a hands-on engineering manager responsible for the day to day delivery, quality and reliability of a MarTech , Customer & Commercial platform or major component within a larger product line such as CDS or GAM. Reporting to the Director, MarTech , Customer & Commercial Product Development, this leader runs a focused engineering team, stays close to the code, and brings AI-native practices into how the team builds, tests, secures and operates the platform.

The role pairs strong execution with people leadership, turning the product roadmap into shipped, dependable software that delivers business value.

What You’ll Do for Us

Lead the engineering and delivery of a MarTech , Customer & Commercial platform or component (for example, a service within CDS or GAM ), owning sprint execution, quality, reliability and on-time delivery. Manage and grow a focused engineering team of 6 to 10 engineers across in house and strategic vendor talent, providing coaching, feedback and day to day technical direction.

Stay hands on: contribute to design, code review and troubleshooting, and step in to help the team in a crunch.

Drive AI-augmented engineering

adopt agentic and AI-assisted development to lift team velocity and quality while keeping human oversight and code-review rigor. Deliver high quality engineering for consumer experiences (websites, web services, apps) and MarTech , Customer & Commercial & AdTech platform features, working within Owned Platforms, Adobe Marketing Cloud, DAM, and related tools.

Implement modern data patterns

extend the stack beyond SQL and NoSQL to vector databases and retrieval-augmented generation (RAG) where they improve personalization, search and grounded AI features.

Build for AI-era security and trust

design for prompt injection, data poisoning and model hallucination alongside traditional application security, with clear guardrails.

Own platform reliability and cost

apply SRE/SLO practices, CI/CD automation, observability , and AI cost discipline such as token-overhead management and semantic caching. Translate the Director's roadmap into clear, executable engineering plans, and report status, progress, risks and dependencies to leadership and stakeholders. Partner with Product Management, Data Services and cross functional teams to deliver against shared outcomes, not just task completion.

Coach the next generation of engineering talent, setting standards for technical excellence, ownership and continuous learning.

Qualifications & Requirements

2+ years of experience in software engineering , including at least 2+ years leading or managing engineers, with hands-on delivery of consumer-facing digital apps or enterprise MarTech , Customer & Commercial components. A builder at heart who stays close to the code.

Delivery ownership

proven track record shipping high quality software on time within an agile / Product Operating Model, accountable for quality, reliability and outcomes.

Team leadership

experience managing or leading small engineering teams, including a mix of in house and vendor talent, with a focus on coaching and growth.

AI-native engineering (preferred)

hands-on familiarity with agentic and AI-assisted development, LLM integration and RAG patterns, vector databases, and the security (prompt injection, data poisoning) and cost (token FinOps, semantic caching) disciplines the AI-native stack requires.

Cloud & DevOps depth

strong technical skills with public/private cloud (AWS or Azure) and DevOps methodologies, including CI/CD pipelines for test, build and deployment automation. MarTech , Customer & Commercial / AdTech familiarity: working knowledge of the MarTech , Customer & Commercial ecosystem, including 1st party consumer data and consumer identity resolution concepts.

Communication

clear written and verbal communication, with the ability to explain technical topics to product, business and vendor partners.

Leadership style

an inspiring, hands-on leader who builds team trust, drives collaboration, and balances delivery speed with engineering quality.

Education

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

• Agentic / AI-Augmented Development
• RAG & Vector Databases
• Cloud (AWS/Azure)
• DevOps/CI-CD
• SRE & Reliability
• AI Security & Guardrails
• AI Cost / FinOps
• 1st Party Data Concepts
• Agile Delivery
• Team Coaching Apache Hadoop, Azure Database for MySQL, Azure Data Factory, Azure Data Lake, Azure SQL Data Warehouse, Google BigQuery, Microsoft Azure, Microsoft Power Business Intelligence (PBI), NoSQL, Platform as a Service (PaaS), PySpark, Structured Query Language (SQL)

Development Location(s)

Ireland City/Cities: Dublin Travel Required: 00% - 25% Relocation Provided: No Job Posting End Date: October 20, 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.