Senior Manager, Product Lead, YouTube Business Technology
at Google
Location
San Bruno, CA, USA; Mountain View, CA, USA; New York, NY, USA
Compensation
$233k–$324k USD
Type
full time
Posted
2 weeks ago
Market range · company + function + seniority
p25 · target · p75 · n=800
Posted $324k · well above market
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Job description
YouTube Technology and Insight mission: The T&I team is a part of YouTube Go To Market Operations. 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.
In this role, you will serve as the high-level orchestrator for the YouTube Creator Partnerships and Support ecosystem. You will report directly to the head of Product for Creator and Consumer Business Systems, acting as the critical bridge between Product, UX, Operations, and Engineering to ensure the seamless delivery of mission-critical systems.
A core focus of this role is applying systems thinking to optimize the entire value stream. You will not only leverage Artificial Intelligence (AI) to reshape creator partnership systems but also manage the operational framework that allows these innovations to scale. You will lead a team of Product Owners and partner closely with Operations leadership to craft a unified product strategy, ensuring that our technical roadmap is synchronized with global operational needs and executive goals.
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 Customer Support, Creator Partnerships, Creator and Customer Success, and BI into a coherent, high-velocity ecosystem.
- Communicate transparently with Executive Directors, VPs, and
cross-functional leads, 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.
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 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 consumption and mission-critical Google Cloud Contact Center solutions.
In most instances, this position requires in-person interviews as part of the hiring process.
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