
Software Development · 330k people
Product Operations Manager, AI Solutions and Enablement, Consumer Apps Marketing
Posted 8 Oct
What’s this role about? The role involves partnering with marketing teams to diagnose workflow bottlenecks and deploying AI-driven solutions to improve operational efficiency. You will manage tool roadmaps, author requirement documents, and lead internal change management initiatives to drive adoption across the organization.
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Company
About Google A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh

Responsibilities
- 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.
Qualification
Required
- 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
- 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.
Benefits
- Equity
- Bonus target
- Health insurance
- Retirement plan
Interested in this role?
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