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X Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
San Bruno, CA, USA; Mountain View, CA, USA; New York, NY, USA.
Minimum qualifications: - Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 10 years of leadership experience in Product Management, or Technical Solutions Delivery.
- 3 years of experience leading product teams and managing cross-functional technical initiatives, leading a team of teams.
- Experience in either system design or reading code (e.g., Java, C , Python, SQL).
- Experience working directly with AI/ML teams to deliver automated or agentic solutions in a customer support context.
- Experience managing product roadmaps using prioritization frameworks, empathy maps, and design thinking.
Preferred qualifications: - 15 years of experience across systems design, product management, and software engineering, including 4 years of high-impact people and program management.
- Experience in product systems thinking, analyzing how changes in CRM or support ecosystems influence the entire value stream and Agentic AI platforms.
- Ability to navigate and influence director and VP-level stakeholders across Engineering, Product, and Business Operations.
- Ability to lead organizational transformation, maturing operating models to unite cross-functional teams and drive large-scale technology growth.
- Proven track record designing enterprise systems and defining complex data architectures for large-scale consumption and mission-critical Google Cloud Contact Center solutions.
About the jobThe Business Technology team is a part of YouTube Go To Market Solutions. We focus on the business of YouTube, ensuring the YouTube business organization can evolve at the speed of YouTube. We provide the tools and systems that deliver the information, capabilities, and insights necessary to help our partners - and YouTube - continue to grow.
At YouTube, our core business systems are not back-office utilities, they are the intelligent engine powering a global creative economy. As the Manager of Product in YouTube Technology and Insights (T&I), you will sit directly at the epicenter of an organization committed to defining what an AI-first business enterprise looks like at Google scale.
In this role, you will have an extraordinary charter: to architect and execute the AI-driven transformation of YouTube's mission-critical business platforms. Your domain spans the end-to-end Go-to-Market portfolio, interconnecting Enterprise Support, Creator and Customer Success, Global Partnerships, and Business Intelligence. Every platform decision you make directly impacts how billions of viewers consume content, millions of creators build their livelihoods, and thousands of GTM team members drive commercial growth.
You will not simply experiment with AI on the fringes; you will operationalize production-grade Agentic AI, large-scale predictive models, and Next-Gen AI into the daily fabric of YouTube's operations. By shifting our systems from reactive to proactive, autonomous, and self-healing intelligence, you will establish the benchmark for enterprise AI across Google. Supported by a high-caliber team of Product Leads and grounded in a servant-leadership, "OneTeam" culture, you will bridge Google research with real-world operational execution, transforming how YouTube serves its users, partners, and business.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $233000 - $324000 (USD) 25% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Formulate and advocate the overarching product strategy spanning YouTube's core business systems, unifying Support, Partnerships, Creator and Customer Success, and BI into a coherent, high-velocity ecosystem.
- Communicate transparently with Executive Directors, VPs, and cross-functional business heads, translating complex technical roadmaps and AI investments into clear business value, operational efficiency, and risk mitigations.
- Lead continuous customer and partner discovery across creators, enterprise partners, and internal operators to translate complex operational pain points into crisp, prioritized product roadmaps and clear business OKRs.
- Partner closely with engineering team members in the creation of detailed systems design, and partner in ongoing delivery.
- Move generative and agentic AI initiatives from proof-of-concept into resilient, to production-grade tools that automate high-volume workflows, deflect friction, and elevate human decision-making. Deploy machine learning models that anticipate partner and creator needs before escalations occur.
