Senior Product Manager, Insights And Quality, Applied AI

Senior Product Manager, Insights and Quality, Applied AI

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

In this role, you will empower the world's leading companies to build, deploy, and evaluate transformative Generative AI applications at scale, by shaping the Insights and Quality AI portfolio, you will craft the horizontal intelligence layer that powers our enterprise customer engagement ecosystem. This is a high-impact leadership role where your innovative, AI-powered solutions will define the future of how global enterprises understand, optimize, and interact with their customers. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $192,000-$278,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Minimum Qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in product management or related technical role.
• 8 years of product management experience taking Enterprise B2B SaaS, data, or platform products from inception to launch.
• 3 years of experience developing or launching products or technologies within artificial intelligence or Machine Learning (AI or ML).

Preferred Qualifications:

• Master's degree in a technology or business related field.
• Experience in Conversational AI platforms, evaluations, Natural Language Processing (NLP), Virtual Agents, or Contact Center as a Service (CCaaS) ecosystems.
• Experience building data-heavy products, such as reporting dashboards, interaction stores, or automated evaluation engines.
• Experience building innovative GenAI products with an entrepreneurial spirit and passion that solve real-world customer problems.
• Ability to successfully drive horizontal platform strategies that integrate across multiple distinct product areas or teams (e.g., integrating analytics across various AI agents).
• Ability to navigate extreme ambiguity, synthesize enterprise customer requirements, and present strategic roadmaps to executive leadership.

Responsibilities:

• Lead the multi-year strategy and roadmap for Insights and Quality AI, including the enterprise conversation store, reporting dashboards, and GenAI-powered automated evaluation for human and Virtual Agents.
• Collaborate across Applied AI, including commerce agents, to unify Insights as a horizontal intelligence layer to ensure seamless data aggregation, automated evaluation, and cohesive analytics across the AI agent portfolio.
• Serve as the definitive product authority, partnering with Engineering, UX, AI/ML Research, and cross-functional leadership to guide products from 0-to-1 ideation through to enterprise scale.
• Identify breakthrough opportunities in conversational AI and contact center analytics, framing problems, building scalable models, and making trade-offs to optimize impact and resources.
• Partner with enterprise customers to understand operational needs, synthesizing market signals to drive innovation and ensure product-market fit.