Director, Software Engineering

About this role

Job Description Summary:

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.   We’re   looking for a transformational leader in our technology services hub focused on marketing technologies.   

The   Director, Software Engineering   is a hands-on engineering leader accountable for owning a flagship   MarTech   product line end to end, such as the Consumer Data Service (CDS) or Global Asset Management (GAM), from discovery and design through delivery,   operation   and continuous improvement. Reporting to the Senior Director / Head of Engineering, this leader directs the full product engineering team, partners closely with Product Management, Data   Services   and global marketing stakeholders, and ensures the platform is reliable,   scalable   and delivering measurable business value across all regions. This is an AI-native engineering role: the leader is expected to drive agentic, AI-accelerated delivery and to build the data, security and cost disciplines the modern   MarTech   stack now requires.  

What   You’ll   Do for Us:    

Own end-to-end the engineering and delivery of a large-scale   MarTech   product (e.g., CDS or GAM), covering the full lifecycle from concept and architecture through build, launch, run, and continuous improvement.  

Lead and collaborate with a high-performing product engineering team of full-stack engineers, architects, and product owners across global and regional delivery centers,   comprising   in-house and strategic vendor talent.  

Deliver high-quality engineering for consumer experiences (websites, web services, apps) and the   MarTech   & AdTech platform stack, including Owned Platforms, Adobe Experience Cloud, software development tools, Trade Desk, Media Math, Digital Asset Management, and social listening & publishing.  

Define and   maintain   the product technology roadmap, translating Coca-Cola brand marketing strategies into engineering priorities in partnership with teams across the globe.  

Coach and develop the next generation of engineering talent, setting clear standards for technical excellence, accountability, and outcome ownership within the product team.  

Manage relationships with external engineering partners and third-party products that integrate with the platform, ensuring quality, security, and value.  

Act as the thought leader and go-to expert for your product domain across architecture, agile software development, large-scale deployments, and media & content supply chain technology.  

Communicate with marketing stakeholders on key initiatives, including new and emerging technologies (AI/GenAI), project status, progress, risks, and dependencies.  

Serve as a trusted advisor to product managers, business partners, and cross-functional stakeholders,   maintaining   high levels   of visibility, efficiency, and collaboration.  

Partner with Data Services & Engineering on the Marketing Data Lake, 1st party consumer data, and consumer identity resolution that power the product.  

Champion modern engineering practices: CI/CD automation, observability, platform reliability (SRE/SLOs), and the responsible, governed adoption of AI within the product.  

Drive AI-native engineering:   lead the shift from manual coding to agentic, AI-velocity   development, raising team throughput and quality while keeping human oversight and code-review rigor.  

Evolve the data foundation:   extend the product data stack beyond SQL and NoSQL to vector databases and retrieval-augmented generation (RAG) that power personalization, search, and grounded AI experiences.  

Own AI-era security and trust:   design for emerging risks including prompt injection, data poisoning, and model hallucination, alongside traditional application security, with clear guardrails and human-in-the-loop governance.  

Manage AI cost and efficiency:   apply FinOps discipline to AI workloads, including token-overhead management, semantic caching, and the right balance of central cloud and edge computer.   Build strong relationships with agency partners and support the Marketing Transformation Office agenda.  

  Qualifications & Requirements    

15+ years of experience in software engineering , with at least 5+   years   building high-impact consumer-facing digital websites/apps and at least 8+ years designing, developing, and implementing enterprise-grade   MarTech   stacks. A technologist at heart who is ready to be hands-on to help the team in a crunch.  

Proven product ownership:   demonstrated   success leading a product end-to-end within a modern Product Operating Model, accountable for outcomes rather than project completion.  

Team leadership:   experience leading globally distributed engineering teams   of   a mixed base of in-house engineers and strategic vendor employees, with   a track record   of building,   coaching   and   retaining   talent.  

MarTech   & AdTech credibility:   strong grasp of the ecosystem around 1st party consumer data, consumer identity resolution, and AdTech.  

Cloud & DevOps depth :    technical   skills and experience with public/private cloud PaaS or IaaS (AWS or Azure) and DevOps methodologies, including CI/CD pipelines for test, build, and deployment automation.  

AI-native engineering (preferred):   hands-on familiarity with agentic and AI-assisted development, LLM integration and RAG patterns, vector databases, and edge compute   (e.g., WASM, Rust);   plus   the security (prompt injection, data poisoning) and cost (token FinOps, semantic caching) disciplines the AI-native stack requires.  

Communication:   exceptional written and verbal communication, with the ability to simplify difficult technology concepts into   clear language   for marketers and executives worldwide.  

Leadership presence:   an inspiri

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