The Product Operations Manager for AI Solutions and Enablement in Consumer Apps Marketing will work closely with marketing teams to identify workflow constraints and operationalize AI-driven tools and workflows. The role combines product operations with hands-on implementation, guiding internal solutions from pilot stages to broad deployment across marketing workflows.
Key Responsibilities
- Partner with marketing teams to diagnose workflow bottlenecks and prioritize where AI tools and agents can create the most measurable impact.
- Build and deploy lightweight production web applications, live dashboards, Workspace automations using Apps Script, custom AI skills, and multi-agent workflows supported by AI-assisted coding tools and Gemini.
- Author PRDs/BRDs and work with engineering teams to deliver multi-quarter, complex solutions.
- Lead internal AI solutions from early piloting through wide-scale deployment, including workflow integration, change management, and workshops.
- Manage tool roadmaps, track adoption and efficiency metrics, and coordinate security, privacy, and legal launch reviews.
Required 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, including Apps Script, SQL, or Python/JavaScript.
- Experience designing custom AI workflows, reusable prompt or skill libraries, and grounded context layers using LLMs, such as structured Markdown or spreadsheet configurations and SQL or data connections.
- Experience taking internal tools or operational programs from early piloting through deployment and adoption.
Technologies
Apps Script, SQL, Python, JavaScript, LLMs, Markdown, Gemini, Antigravity, AI Studio, NotebookLM, Vertex AI, Cloud Run, BigQuery, APIs, structured Markdown/spreadsheet configs, SQL/data connections
Preferred Qualifications
- Experience with AI-assisted coding tools such as Antigravity and Google’s AI and cloud stack, including Gemini, AI Studio, NotebookLM, Vertex AI, and Cloud Run, to create custom skills, web apps, and chained workflows.
- Experience translating 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 efforts, pilot rollouts, and workshops that drive measurable adoption across non-technical teams.
- Knowledge of web technologies such as HTML/CSS/JavaScript, SQL such as BigQuery, or APIs to ground tools in data and measure impact.
Location and Salary
Location: New York, NY (onsite)
Salary: USD 148,000 - 215,000 per year
Compensation details (US): $148,000 - $215,000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
