Agentic Marketing Specialist, AI, Google Ads

About

As an Agentic Marketing Specialist, you will work at the AI-driven marketing organization to help deploy AI-powered agentic workflows using emerging tools and approaches applied to traditional marketing practices. You will define and monitor agent behaviors, curate a shared marketing skills library, and maintain the context layers that keep agents accurate (e.g., brand and product guidelines). You will collaborate in sprints with Product Marketing Managers to safely deploy agents, serving as the bridge between marketing goals and modern generative AI capabilities built by central MarTech and Engineering teams.

At its core, marketing at Google starts with technology and ends with the user—bringing both together in unconventional ways to demonstrate how Google’s products solve the world’s problems, from everyday to epic.

Responsibilities

• Assist in configuring and maintaining the technical pipelines required to run automated, context-aware marketing workflows across core scaled business programs, powered by first-party tools including Antigravity, Gemini Enterprise, and Vertex AI.
• Build and curate a shared skill library by drafting prompt chains and testing tool-calling capabilities that enable agents to execute tasks such as content localization, asset generation, and conversational analytics.
• Collaborate with Product Marketing Managers (PMMs) to map organizational marketing knowledge into structured schemas, supporting the EMEA Ads Marketing Context Graph and brand guidelines.
• Participate in sprint-based prototyping with marketing partners to deliver agentic solutions for high-priority workflows, ensuring configurations align with team templates and best practices.

Minimum Qualifications

• Bachelor’s degree or equivalent practical experience.
• 1 year of experience in growth, performance, direct response, social, digital, cloud, or events marketing.
• Experience working cross-functionally with various stakeholders and teams.

Preferred Qualifications

• Experience building and maintaining semantic context graphs or taxonomies to ground LLM outputs.
• Experience working within agile or sprint-based frameworks to deliver technical marketing solutions.
• Understanding of agentic system architectures and the use of skills and context to produce accurate output.
• Ability to translate complex technical architectures into actionable business workflows for non-technical stakeholders.