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Google

AI Solution Architect, YouTube Marketing

SQLRESTful APIsmiddlewareMarTechCDPsCRM automationDAMad techGoogle AIVertex AIGeminiGoogle AI StudioPythonAPI integrationsgenerative AILLM prompt engineeringintelligent automationproduct managementAImarketing technology

Key details

Salary

$149K – $216K

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

New York, New York, United States; San Bruno, California, United States

Full job description

Seeking a senior Solutions Architect focused on AI with 6 years of product or program management experience. Requires proficiency in SQL, data pipelines, RESTful API design and integration, and modern MarTech stacks including CDPs, CRM automation, DAM, and ad tech APIs. Preferred skills include experience with Google's AI ecosystem (Vertex AI, Gemini, Google AI Studio), Python, API integrations, generative AI workflows, LLM prompt engineering, intelligent automation, and knowledge of data governance and privacy compliance. Responsibilities include prototyping, testing, and deploying AI-driven automation solutions, operating independently with AI-assisted and low-code development, bridging technical and marketing functions, and accelerating AI-first marketing adoption. Full-time role based in San Bruno, CA or New York, NY. Salary range $149,000-$216,000 plus bonus, equity, and benefits.

What you'll do

  • Rapidly prototype, test, and deploy AI-driven solutions that replace manual workflows with intelligent, scalable automation
  • Operate with a high degree of independence using AI-assisted development and low-code solutions to prove value instantly
  • Bridge the gap between technical potential and marketing execution
  • Accelerate adoption of AI-first marketing at scale
  • Demonstrate how Google's products solve problems by connecting technology and user needs

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)

Tech stack

SQLRESTful APIsmiddlewareMarTech stacksCDPsCRM automationDAMad tech APIsGoogle AI ecosystemVertex AIGeminiGoogle AI StudioPythonAPI integrationsgenerative AILLM prompt engineeringintelligent automation

Benefits

bonusequitybenefits (see https://careers.google.com/benefits/)

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