As a Solutions Architect focused on AI, you are a builder and a change agent. You will not just map out strategies; you will rapidly prototype, test, and deploy AI-driven solutions that replace manual workflows with intelligent, scalable automation. Operating with a high degree of independence, you will bypass traditional, slow-moving development cycles by utilizing AI-assisted development (vibe coding) and low-code solutions to prove value instantly. You will show the broader organization what is possible and accelerate our adoption of AI-first marketing at scale.
In this role, you will bridge the gap between technical potential and marketing execution. If you want to grow in ambiguous, fast-paced environments and are passionate about shaping the future of AI-native operations, this role offers the platform to make a massive, global impact.
Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $148000 - $216000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Transition YouTube Marketing to an AI-first mindset, replacing legacy workflows with generative AI, automated creative engines, and intelligent targeting.
- Build, deploy, and iterate on "vibe-coded" AI prototypes and custom scripts to solve immediate marketing challenges with minimal oversight.
- Bridge technical gaps across Product, Engineering, and Marketing, seamlessly transitioning agile prototypes into scalable, enterprise-grade production systems.
- Design a flexible, future-proof marketing technology stack that integrates advanced ML capabilities and adapts quickly to evolving tools.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 6 years of experience in product or program management.
- Experience in SQL and utilizing data pipelines to measure and analyze system performance.
- Experience designing, testing, and integrating RESTful APIs or middleware to connect disparate systems.
- Experience with modern MarTech stacks (e.g., CDPs, CRM automation, DAM, or ad tech APIs).
Preferred qualifications:
- Experience using Google’s AI ecosystem (e.g., Vertex AI, Gemini, Google AI Studio) alongside AI-assisted coding tools.
- Technical proficiency in Python, SQL, and API integrations to independently connect disparate data platforms.
- Expertise applying generative AI workflows, LLM prompt engineering, or intelligent automation within marketing.
- Understanding of data governance, privacy compliance frameworks, and AI guardrails.