Global Head of Marketing Innovation

We are seeking a forward-thinking, AI-first leader to shape and drive the evolution of Marketing Innovation across the organization. Sitting within the Marketing function, this role is responsible for defining how AI transforms marketing—from how we plan and create, to how we execute, personalize, and scale.

As Global Head of Marketing Innovation, you will lead the transition from traditional marketing operations and tooling toward AI-powered workflows, agent-driven automation, and intelligent decision systems. You will define what capabilities marketing needs to succeed in an AI-native environment and translate those into clear, prioritized roadmaps in close partnership with Product, Engineering, and Data teams.

This role goes beyond managing technology—it is about rethinking how marketing works. You will act as the primary bridge between Marketing and technical teams, ensuring AI solutions are aligned with business goals, scalable across markets, and embedded into day-to-day workflows. You will also lead a small but high-impact team, including an AI Enablement specialist responsible for driving adoption across the organization.

The role reports directly to the Senior Director of Growth Marketing & Innovation.

What you’ll be doing

AI Strategy & Marketing Transformation

• Define and lead the long-term vision for AI-powered marketing, including automation, personalization, and intelligent workflows.
• Identify high-impact opportunities where AI can replace manual work, improve decision-making, and unlock scale.
• Drive the transition from tool-based execution to AI-enabled operating models across marketing functions.

AI Product Thinking & Roadmap Ownership

• Translate marketing needs into AI-driven solutions, including agents, automation systems, and intelligent workflows.
• Own and prioritize the Marketing Innovation roadmap, balancing business impact, feasibility, and scalability.
• Act as the primary DRI within Marketing for AI-related initiatives, managing trade-offs and sequencing.

Agentic AI & Workflow Automation

• Lead the design and deployment of AI agents to automate workflows across creative production, performance marketing, CRM, and localization.
• Ensure solutions are embedded into real workflows—not standalone tools.
• Continuously identify and scale automation opportunities across the organization.

Cross-Functional Leadership

• Partner closely with Product, Engineering, Data Science, and Analytics teams to build and deploy AI solutions.
• Ensure alignment between marketing needs, technical capabilities, and long-term system architecture.
• Influence without direct authority, driving execution through strong cross-functional collaboration.

AI Adoption & Enablement

• Own the global adoption of AI solutions across Marketing.
• Lead and mentor an AI Enablement specialist focused on training, documentation, and day-to-day usage.
• Establish clear processes, playbooks, and best practices to ensure teams effectively leverage AI capabilities.
• Drive cultural change toward AI-first ways of working.

Governance, Quality & Compliance

• Ensure AI solutions meet standards for quality, consistency, and brand alignment.
• Partner with Legal, Privacy, and Engineering teams to ensure compliance with data governance and regulatory requirements.
• Define guardrails, escalation paths, and approval processes for AI-driven workflows.

Vendor & Ecosystem Strategy

• Evaluate and manage external AI tools, platforms, and partners.
• Ensure the ecosystem supports long-term flexibility and avoids unnecessary complexity.
• Maximize value from vendors through structured evaluation and performance management.

Our humble expectations

• 8+ years of experience in product, AI/automation, marketing innovation, or related roles in high-scale digital environments.
• Strong product mindset, with experience translating business needs into scalable technical or AI-driven solutions.
• Solid understanding of marketing platforms and ecosystems (e.g., marketing automation, CRM, mobile attribution, ad tech), with the ability to evaluate trade-offs without needing to be hands-on in system configuration or engineering
• Hands-on understanding of AI capabilities (e.g., LLMs, agents, automation tools) and how they apply to marketing workflows.
• Experience working cross-functionally with Product, Engineering, Data, and Analytics teams.
• Proven ability to operate in ambiguous environments and build structure where none exists.
• Strong stakeholder management and communication skills, with the ability to influence senior leaders.
• Experience building or leading small, high-impact teams.
• Passion for AI innovation and its application to real-world operational challenges.

Nice to have:

• Experience with marketing platforms (CRM, automation, ad tech)
• Familiarity with prompt design, workflow orchestration, or AI tooling ecosystems
• Understanding of Marketing Automation and AdTech systems (e.g., Iterable, Braze, Salesforce, Appsflyer, Adjust) 
• Basic data fluency (e.g., SQL or analytics tools)

What we offer

This is a rare opportunity to get under the hood of a massive growth engine and actually build the tools that make it run. You won’t just be managing existing software; you’ll be the strategic architect responsible for moving us away from manual, "copy-paste" work toward a smart, automated system powered by AI and real-time data.

You will have the mandate to bridge the gap between Marketing, Product, and Engineering, making sure our tech stack is a competitive advantage rather than a bottleneck. Whether it’s building a marketing engine to win back millions of users or launching ML-powered personalization that hits the right customer at the perfect moment, you will be the one making it technically possible.

If you want a high-ownership role where you can solve real structural problems and lead a team of technical experts in a fast-paced, global environment, this is it.

Next steps

Our hiring process prioritizes quality over speed to ensure we find the right long-term fit for this critical role. Candidates move through the process one step at a time, typically starting with an initial screen and a hiring manager interview, followed by a peer interview and a take-home case study presentation, concluding with a final value-fit conversation.