Product Operations Manager, AI and Analytics, Communications

About the role

We help inform and educate users, advertisers, partners, opinion leaders--and our own employees--about the benefits of Google's products, our distinctive company culture/values and our approach to the big public policy issues of the day. You are quick-witted, entrepreneurial and intellectually curious. To succeed in this role, you are willing to try new things and can manage numerous projects with tight deadlines.

Responsibilities

• Identify the daily operational and strategic needs of communications managers, prioritizing features to build a roadmap of high-impact AI tools and products.
• Act as the primary bridge between non-technical communications stakeholders and core engineering partners, translating business requirements into clear technical specifications, user journeys, and functional logic.
• Build and rapidly prototype custom AI-powered solutions and agents using Gemini Enterprise and anti-gravity to validate use cases before handing them off to engineering for scaling.
• Manage the lifecycle of AI features within internal tools, from requirement gathering and initial prototyping to final deployment, user acceptance testing (UAT), and training.
• Serve as a subject matter expert on utilizing Gemini Enterprise and anti-gravity to optimize communications workflows and drive platform adoption.

Requirements

• Bachelor’s degree or equivalent practical experience.
• 6 years of experience in a technical program management, product operations, or a similar cross-functional role bridging business users and engineering teams.
• Experience building functional prototypes, workflows, or AI agents using low-code/no-code platforms, API integrations, or application development tools.

Preferred qualifications

• Experience in technical program management, or building technical tools.
• Experience identifying user pain points and prototyping AI solutions using Gemini Enterprise and rapid development frameworks like anti-gravity.
• Expertise with regular use of LLMs, prompt engineering, and structuring database queries (SQL) to inform product requirements.
• Excellent stakeholder management, prioritization, and communication skills.

Pay

US: $148,000 - $216,000 (USD) + 15% bonus target + equity + benefits