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Google

Product Operations Manager, AI Solutions and Enablement, Consumer Apps Marketing

Google
San Francisco, CA $148k - $215k/yr Full time Posted 5d ago
Manager Marketing Ai Product Operations Ai Workflows Cloud Platforms Data Analytics Marketing Workflows Product Management Product Operations Program Management Reporting and Analytics Workflow Management
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Job Description

The Product Operations Manager for AI Solutions and Enablement in Consumer Apps Marketing partners closely with marketing teams to identify workflow bottlenecks and translate operational needs into deployable AI solutions. The role supports end-to-end delivery, from early piloting and launch reviews to wider workflow integration, adoption, and measurable impact.

Responsibilities

  • Collaborate with marketing teams to diagnose workflow bottlenecks and prioritize where AI tools and agents can deliver the most impact.
  • Build and deploy lightweight production web applications, live dashboards, Workspace automations using Apps Script, custom AI skills, and multi-agent workflows.
  • Use AI-assisted coding tools and Gemini to implement solutions, including production-ready integrations and workflows.
  • Author product and business requirement documents (PRDs/BRDs) and guide engineering teams to deliver complex, multi-quarter initiatives.
  • Lead internal AI solutions from early piloting to wide-scale deployment across Marketing, including workflow integration, change management, and workshops.
  • Manage tool roadmaps, track adoption and efficiency metrics, and coordinate security, privacy, and legal launch reviews.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 6 years of experience in product operations, marketing technology, technical program management, management consulting, or technical operations.
  • Experience using AI-assisted coding tools or low-code platforms to build and deploy working web apps, live dashboards, or workflow automations, including Apps Script, SQL, or Python/JavaScript.
  • Experience designing custom AI workflows, reusable prompt or skill libraries, and grounded context layers using LLMs (for example, structured Markdown or spreadsheet configurations, or SQL and data connections).
  • Experience taking internal tools or operational programs from early piloting to deployment and adoption.

Technologies

  • Apps Script
  • SQL
  • Python
  • JavaScript
  • LLMs
  • Markdown
  • Gemini
  • Antigravity
  • AI Studio
  • NotebookLM
  • Vertex AI
  • Cloud Run
  • BigQuery
  • APIs

Preferred Qualifications

  • Experience with AI-assisted coding tools (for example, Antigravity) and Google’s AI and cloud stack (Gemini, AI Studio, NotebookLM, Vertex AI, Cloud Run) to create custom skills, web apps, and chained workflows.
  • Experience turning operational challenges into PRDs and guiding engineering vendors or development teams to ship complex solutions.
  • Experience structuring shared knowledge bases, dynamic prompt configurations, and user-centered tools.
  • Experience leading internal go-to-market activities, pilot rollouts, and workshops that drive measurable adoption across non-technical teams.
  • Knowledge of web technologies (HTML/CSS/JavaScript), SQL (for example, BigQuery), or APIs to ground tools in data and measure impact.

Location and Compensation

Location: San Francisco, CA (onsite)

Salary: USD 148,000 - 215,000 per yearly

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