Software Engineering Manager, AI Platforms

The Coca-Cola Company; Dublin; On-site; EUR 120,000 - 180,000; Full time

Job summary

The Coca-Cola Company seeks an Manager, AI-Augmented Platform Engineering to lead and deliver a MarTech, Customer & Commercial platform. You will own sprint execution, reliability, and value delivery while coaching a 6–10 person team and contributing hands-on when needed.

Focus areas include AI-native development, LLM integration, RAG, vector databases, cloud & DevOps, and platform security, with visibility into roadmap execution and cross-functional collaboration.

Qualifications

• 2+ years software engineering experience with hands-on delivery of consumer-facing digital apps or MarTech components.
• Delivery ownership: ship high quality software on time in an agile/Product Operating Model.
• Team leadership: experience leading small engineering teams and coaching.
• AI-native engineering experience (preferred): LLM integration, RAG, vector DBs, AI security.
• Cloud & DevOps depth: public/private cloud (AWS/Azure) and CI/CD pipelines.

Responsibilities

• Lead the engineering and delivery of a MarTech, Customer & Commercial platform or component, 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 vendor talent with coaching and direction.
• Stay hands-on: contribute to design, code review and troubleshooting, stepping in during crunch times.
• Drive AI-augmented engineering to lift velocity while maintaining code review discipline.
• Deliver high quality engineering for consumer experiences and platform features across Owned Platforms and related tools.
• Implement modern data patterns: vector databases and retrieval-augmented generation (RAG).
• Design for security and trust: guardrails for prompt injection, data poisoning and model hallucination.
• Own platform reliability and cost: apply SRE/SLO, CI/CD automation, observability and AI cost discipline.
• Translate roadmap into executable plans and report progress and risks to leadership.
• Collaborate with Product, Data Services and cross-functional teams to achieve shared outcomes.
• Coach the next generation of engineers and promote technical excellence.

Skills

AI-native engineering

Platform engineering

Cloud AWS/Azure

DevOps/CI-CD

SRE & Reliability

RAG patterns

Vector databases

AI security & guardrails

Leadership & coaching

Communication

Team collaboration

Education

Bachelor's degree in engineering or computer science

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.

_Skills: 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_

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.