AI Solution Architect, YouTube Marketing

About the role

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.

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.

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).

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.

Benefits

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $148,000 - $216,000 (USD) + 15% bonus target + equity + benefits

Pay

US: $148,000 - $216,000 (USD)

Schedule

N/A