Google

AI Solution Architect, YouTube Marketing

Google$148K — $216K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 6 years in product or program management.
  • Proficient in SQL for data performance analysis.
  • Skilled in designing and integrating RESTful APIs.
  • Familiar with modern MarTech stacks, including CDPs and ad tech APIs.

Responsibilities

  • Transition YouTube Marketing to an AI-first mindset using generative AI and automated creative engines.
  • Build and iterate on AI prototypes and scripts to address marketing challenges independently.
  • Bridge technical connections between Product, Engineering, and Marketing to scale prototypes.
  • Design a forward-looking marketing technology stack with advanced ML integration.

Benefits

  • Flexible working location options in San Bruno, CA or New York, NY.
  • 15% bonus target on compensation.
  • Equity benefits.
  • Access to Google's comprehensive benefits package.
Full Job Description
info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; New York, NY, USA.

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.


About the job
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.


About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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