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

• Partner 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 apps, live dashboards, Workspace automations (Apps Script), custom AI skills, and multi-agent workflows using AI-assisted coding tools and Gemini.
• Author product/business requirement documents (PRDs/BRDs) and guide engineering teams to deliver complex, multi-quarter solutions.
• Lead internal AI solutions from early piloting to wide-scale deployment across Marketing through workflow integration, change management, and workshops.
• Manage tool roadmaps, track adoption and efficiency metrics, and coordinate security, privacy, and legal launch reviews.

Minimum qualifications:

• 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 (e.g., Apps Script, SQL, or Python/JavaScript).
• Experience designing custom AI workflows, reusable prompt/skill libraries, and grounded context layers (e.g., structured Markdown/spreadsheet configs, or SQL/data connections) using LLMs.
• Experience taking internal tools or operational programs from early piloting to deployment and adoption.

Preferred qualifications:

• Experience with AI-assisted coding (e.g., Antigravity) tools 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 translating operational challenges into product requirement documents (PRDs) and guiding engineering vendors or development teams to ship complex solutions.
• Experience structuring shared knowledge bases, dynamic prompt configs, and user-centered tools.
• Experience leading internal go-to-market, pilot rollouts, and workshops that drive measurable adoption across non-technical teams.
• Knowledge of web technologies (HTML/CSS/JavaScript), SQL (e.g., BigQuery), or APIs to ground tools in data and measure impact.

Whether you're on a consumer product (like Gmail, Search, Maps, Chrome, Android) or a business product (Google Ads, AdSense, Google Marketing Platform, Analytics), you take part in a complete marketing experience as you lead every facet of the product's journey. From determining positioning, naming, competitive analysis, feature prioritization and external communications, you help shape the product and help it grow a consumer base. This means you work with a cross-functional team across Sales, corporate communications, legal, webmasters, product development, engineering and more. In this role, you'll be involved with product marketing strategy from beginning to end.

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 - $215000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Francisco, CA, USA; New York, NY, USA.

• 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 (e.g., Apps Script, SQL, or Python/JavaScript).
• Experience designing custom AI workflows, reusable prompt/skill libraries, and grounded context layers (e.g., structured Markdown/spreadsheet configs, or SQL/data connections) using LLMs.
• Experience taking internal tools or operational programs from early piloting to deployment and adoption.