AI Solution Architect, YouTube Marketing
Role details
Job location
Tech stack
Job description
- 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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Requirements
- 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)., * 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.
Benefits & conditions
(part of Google) 4.34.3 out of 5 stars San Bruno, CA $148,000 - $216,000 a year - Full-time