YouTube Product Strategy and Operations Lead, YouTube TV

📍 Job Overview

Job Title: YouTube Product Strategy and Operations Lead, YouTube TV

Company: Google

Location: San Bruno, California, United States

Job Type: Full-time

Category: Product Strategy & Operations

Date Posted: August 07, 2026

Experience Level: 5-10 years

Remote Status: On-site

🚀 Role Summary

• Drive strategic initiatives and operational excellence for YouTube TV's subscriber growth and engagement.

• Develop and manage sophisticated driver-based subscriber and engagement models to forecast goals and business outlooks.

• Conduct deep-dive quantitative analyses to uncover actionable insights for improving product performance and user engagement.

• Collaborate closely with Data Science teams to leverage advanced modeling and quantitative analysis for strategic decision-making.

• Automate core workflows for product health reporting, utilizing AI tools to enhance efficiency and self-service capabilities for executives.

📝 Enhancement Note: This role sits within Google's Product Strategy and Operations (PS&O) team, a critical function at the intersection of strategy and execution for high-impact YouTube initiatives. The focus on YouTube TV and subscription products indicates a need for deep understanding of consumer subscription models, churn analysis, and customer lifetime value. The emphasis on AI tools suggests an expectation for leveraging cutting-edge technology to drive operational efficiency.

📈 Primary Responsibilities

• Own the development and maintenance of comprehensive driver-based subscriber and engagement models, translating complex business inputs into accurate forecasts for Annual/Quarterly OKRs and long-term (5-year) business outlooks.

• Define, track, and analyze core product metrics, becoming a subject matter expert on factors influencing their movement and providing data-driven recommendations for improvement.

• Partner with the Data Science team to prioritize and execute sophisticated quantitative analyses and advanced modeling, delivering actionable insights that directly contribute to subscriber and engagement growth.

• Lead initiatives to automate core workflows for product health reporting, leveraging AI tools to reduce manual overhead, improve data accuracy, and enable more self-serve reporting capabilities for executive stakeholders.

• Develop and manage cross-functional programs and projects, ensuring alignment across various teams and effectively communicating insights and strategies to diverse audiences, from individual contributors to senior leadership.

📝 Enhancement Note: The responsibilities clearly indicate a need for a strong analytical foundation, coupled with the ability to translate complex data into strategic recommendations. The emphasis on "owning" models and "defining core metrics" suggests a high degree of autonomy and responsibility. The "partnering" with Data Science highlights the collaborative nature of the role, requiring strong interpersonal and communication skills alongside technical expertise.

🎓 Skills & Qualifications

Education: Bachelor's degree or equivalent practical experience.

Experience: Minimum of 4 years of experience in an analytically-intensive role, such as management consulting, investment banking, business intelligence, data science, or corporate strategy and operations.

Required Skills:

• Proven experience in an analytically-intensive role, demonstrating strong quantitative and problem-solving capabilities.

• Proficiency in SQL for data extraction, manipulation, and analysis.

• Expertise in spreadsheet software (e.g., Google Sheets, Excel) for data modeling and analysis.

• Experience with data visualization tools and techniques to communicate complex data insights effectively.

• Demonstrated ability to build sophisticated forecast models and understand their underlying drivers.

• Strong understanding of data analytics principles and methodologies.

• Excellent communication and interpersonal skills, with a proven ability to influence a range of audiences and drive cross-functional programs. Preferred Skills:

• 6 years of experience in an analytically-intensive role.

• Experience in consumer internet, media, sports, or online video industries, particularly with subscription products.

• Hands-on experience with advanced data analytics tools and techniques beyond basic spreadsheets.

• Familiarity with AI tools for workflow automation and data analysis.

• Experience defining and managing Objectives and Key Results (OKRs).

• Background in business intelligence or corporate strategy with a focus on growth initiatives.

📝 Enhancement Note: The distinction between minimum and preferred qualifications suggests that candidates with a deeper background in subscription products and advanced analytics tools will have a stronger profile. The emphasis on "influencing a range of audiences" and "driving cross-functional programs" points to the importance of soft skills in addition to technical acumen.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of developing and refining complex forecasting models, including driver-based subscriber and engagement forecasts.

• Case studies showcasing in-depth quantitative analysis and the derivation of actionable insights that led to measurable improvements in product performance or user engagement.

• Examples of defining and tracking key performance indicators (KPIs) and product health metrics, along with strategies for analyzing metric fluctuations.

• Documentation of projects where you successfully partnered with data science or engineering teams to execute advanced modeling or quantitative analyses.

• Evidence of automating reporting workflows or implementing self-serve reporting solutions, ideally with examples of efficiency gains or reduced manual overhead. Process Documentation:

• Showcasing the methodology used to translate business inputs into strategic forecasts and OKRs.

• Illustrating the steps taken to identify, analyze, and report on core product metrics, including root cause analysis for significant shifts.

• Detailing the process of collaborating with cross-functional teams (e.g., Data Science, Product Management, Engineering) to drive analytical projects and strategic initiatives.

• Documenting instances of leveraging AI or advanced tools to optimize operational workflows and reporting processes.

📝 Enhancement Note: Applicants should prepare to showcase their analytical rigor and process-oriented approach. A portfolio demonstrating quantitative analysis, model building, and the ability to translate data into actionable business strategies will be crucial. Examples of automating processes and working with data science teams are highly valued.

💵 Compensation & Benefits

Salary Range: $126,000 - $180,000 USD per year.

Benefits:

• Bonus Target: Potential for a 15% annual bonus based on performance.

• Equity: Stock options or grants as part of the compensation package.

• Health Insurance: Comprehensive health, dental, and vision insurance plans.

• Retirement Savings: Access to retirement savings plans (e.g., 401k) with potential company match.

• Paid Time Off: Generous paid time off, including vacation, sick leave, and holidays.

• Professional Development: Opportunities for continuous learning, training, and career advancement.

• Wellness Programs: Access to various wellness initiatives and resources.

Working Hours: Standard full-time, approximately 40 hours per week, with potential for extended hours during peak periods or project deadlines.

📝 Enhancement Note: The provided salary range is competitive for a Lead role in the San Francisco Bay Area, reflecting the high cost of living and the specialized skills required. The inclusion of bonus targets and equity indicates a performance-driven compensation structure. The benefit package is comprehensive, aligning with typical offerings from major tech companies. Salary estimation methodology is based on the provided range and general industry benchmarks for similar roles in San Bruno, CA.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Online Video, Media, Entertainment, Subscription Services)

Company Size: Very Large (Google has over 180,000 employees globally).

Founded: 1998 (Google). YouTube was founded in 2005 and acquired by Google in 2006.

Team Structure:

• The Product Strategy and Operations (PS&O) team at YouTube operates at the nexus of strategy, analytics, and execution.

• This role likely reports into a Director or VP level within YouTube Product or Strategy, with close collaboration with Product Management, Data Science, Engineering, and Marketing teams.

• The team is expected to be highly analytical, data-driven, and focused on driving measurable business outcomes for YouTube's core products, including YouTube TV. Methodology:

• Data-Driven Decision Making: Heavy reliance on quantitative analysis, modeling, and metrics to inform strategy and operational improvements.

• Cross-Functional Collaboration: Emphasis on working effectively across diverse teams to achieve shared goals.

• Agile Execution: Iterative approach to strategy development and problem-solving, often involving rapid analysis and adaptation.

• Focus on Impact: Prioritizing initiatives that yield significant improvements in key business metrics like subscriber growth, engagement, and revenue.

Company Website: https://www.google.com/

📝 Enhancement Note: Google's culture is known for its data-centric approach, emphasis on innovation, and a fast-paced environment. The PS&O team specifically thrives on tackling complex problems with rigorous analytical frameworks. The "home of culture" vision for YouTube underscores the platform's ambition to be central to global entertainment and content consumption.

📈 Career & Growth Analysis

Operations Career Level: This is a Lead role, signifying a senior individual contributor position with significant responsibility for strategic planning, operational execution, and driving key business outcomes. It requires a high level of autonomy and the ability to influence without direct managerial authority.

Reporting Structure: The role is expected to report to a senior leader within YouTube's Product Strategy & Operations or Product Management function. There will be significant interaction with peers in Data Science, Product Management, Engineering, Marketing, and potentially Finance.

Operations Impact: The Lead will have a direct and substantial impact on YouTube TV's subscriber base and engagement metrics. Their work in developing strategic models, providing actionable insights, and driving operational improvements will directly influence revenue, market share, and overall platform health. The focus on OKRs and long-term business outlooks means their contributions are critical to the company's strategic direction.

Growth Opportunities:

• Strategic Leadership: Opportunity to shape the future strategy of a major YouTube product, influencing high-level business decisions.

• Advanced Analytics & Modeling: Deepen expertise in sophisticated quantitative analysis, predictive modeling, and AI-driven insights within a leading tech environment.

• Cross-Functional Expertise: Broaden experience by collaborating with a diverse range of departments, enhancing understanding of the end-to-end product lifecycle and business operations.

• Leadership Development: Potential to grow into management roles within PS&O or transition into Product Management or other strategic leadership positions within Google.

• Industry Specialization: Become a recognized expert in the dynamics of the online video, streaming, and subscription product markets.

📝 Enhancement Note: This role offers a significant platform for career advancement within Google, particularly for those aspiring to senior product strategy or leadership roles. The combination of analytical depth, strategic influence, and cross-functional exposure is a strong foundation for future growth.

🌐 Work Environment

Office Type: This is an on-site role, indicating a preference for in-person collaboration and access to Google's physical office infrastructure. Google offices are known for their vibrant, amenity-rich environments designed to foster collaboration and innovation.

Office Location(s): The primary location is San Bruno, California, a key hub for YouTube operations. This location offers access to cutting-edge facilities and a dynamic tech ecosystem.

Workspace Context:

• Collaborative Spaces: Access to well-designed meeting rooms, brainstorming areas, and open-plan workspaces that encourage interaction and teamwork.

• Technology & Tools: Availability of high-performance computing resources, advanced analytics software, and robust internal Google systems.

• Team Interaction: Frequent opportunities for direct engagement with colleagues from various disciplines, fostering a rich learning and problem-solving environment.

• Amenities: On-site amenities often include cafes, fitness centers, and other resources designed to support employee well-being and productivity.

Work Schedule: The standard work schedule is approximately 40 hours per week. However, given the nature of product strategy and operations, particularly in a fast-paced tech environment like Google, there may be expectations for flexibility and extended hours during critical project phases, product launches, or when meeting quarterly/annual goals.

📝 Enhancement Note: The on-site requirement suggests Google values in-person collaboration for this strategic role. The San Bruno location places the role within a significant tech hub, offering networking and industry engagement opportunities. The environment is expected to be dynamic, data-driven, and supportive of innovation.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications to assess minimum qualifications and alignment with preferred skills.

• Technical/Analytical Interviews: Expect multiple rounds focusing on quantitative skills, problem-solving, SQL proficiency, forecasting, and data interpretation. This may include live coding exercises or case studies.

• Product Strategy & Operations Case Study: A more in-depth case study or presentation, likely requiring you to analyze a hypothetical business problem related to YouTube TV, develop a strategy, and propose operational solutions. This is where your portfolio will be critical.

• Cross-Functional Interviews: Interviews with potential peers and stakeholders from Product Management, Data Science, and Engineering to assess collaboration style and communication effectiveness.

• Hiring Manager/Leadership Interview: A final interview to assess overall fit, leadership potential, strategic thinking, and alignment with Google's culture.

Portfolio Review Tips:

• Quantify Impact: For each project, clearly articulate the problem, your approach, the actions taken, and most importantly, the measurable results (e.g., % increase in subscribers, % improvement in engagement, cost savings from automation).

• Showcase Process: Detail your analytical process, including data sources, methodologies used (e.g., statistical modeling, regression analysis), and how you derived insights.

• Highlight Collaboration: Include examples where you successfully partnered with other teams (Data Science, Engineering, Marketing) to achieve outcomes.

• Demonstrate Strategic Thinking: Explain how your analytical work informed strategic decisions and contributed to business objectives like OKRs.

• Tailor to YouTube TV: If possible, include examples relevant to subscription products, media, or online video, demonstrating an understanding of the domain.

• Clarity and Conciseness: Present your work clearly and concisely. Be prepared to walk through specific examples in detail during interviews.

Challenge Preparation:

• Practice SQL: Be prepared for complex SQL queries involving joins, aggregations, window functions, and subqueries.

• Excel/Spreadsheet Modeling: Practice building financial or operational models from scratch, including sensitivity analysis and scenario planning.

• Case Study Framework: Develop a structured approach for tackling business case studies (e.g., clarifying objectives, breaking down the problem, generating hypotheses, analyzing data, recommending solutions, identifying risks).

• Product Metrics: Familiarize yourself with key metrics for subscription services, online video platforms, and engagement analytics.

• Strategic Thinking: Prepare to discuss market trends, competitive landscapes, and strategic frameworks relevant to YouTube TV's business.

📝 Enhancement Note: The interview process is designed to rigorously test analytical skills, strategic thinking, and collaborative capabilities. A well-curated portfolio that showcases quantifiable achievements and a clear process is essential for success. Preparing for case studies and SQL challenges is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• SQL: Essential for data extraction, manipulation, and analysis from large datasets.

• Spreadsheets: Advanced proficiency in Google Sheets or Microsoft Excel for modeling, analysis, and reporting.

• Data Visualization Tools: Experience with tools like Tableau, Looker, or Google Data Studio for creating dashboards and communicating insights.

• Google Internal Tools: Familiarity with Google's proprietary data analysis and reporting platforms (e.g., internal databases, analytics suites, BigQuery).

Analytics & Reporting:

• Statistical Software/Libraries: Potential use of R, Python (with libraries like Pandas, NumPy, SciPy) for advanced statistical analysis and modeling.

• Forecasting Tools/Techniques: Experience with time-series analysis, regression models, and other forecasting methodologies.

• Business Intelligence Platforms: Tools for creating and managing dashboards and reports to monitor product health and performance.

CRM & Automation:

• AI Tools: As mentioned, expect to leverage AI tools for workflow automation, predictive analytics, and enhanced reporting capabilities.

• Workflow Automation Software: Familiarity with tools or scripting for automating repetitive tasks and reporting processes.

• Data Warehousing/Databases: Understanding of database structures and data warehousing concepts (e.g., BigQuery).

📝 Enhancement Note: Proficiency in SQL and advanced spreadsheet skills are non-negotiable. Experience with Google's internal tools and platforms is highly advantageous. The role implies a need for comfort with data science tools and an openness to leveraging AI for operational efficiency.

👥 Team Culture & Values

Operations Values:

• Data-Driven Rigor: A commitment to using data and analytical evidence as the foundation for all strategic decisions and operational improvements.

• Impact Orientation: A relentless focus on driving measurable business outcomes that contribute to YouTube's growth and success, particularly in subscriber acquisition and engagement.

• Collaboration & Partnership: A belief in the power of teamwork, fostering strong relationships with cross-functional teams to achieve shared objectives.

• Innovation & Curiosity: A continuous drive to explore new ideas, leverage cutting-edge technologies (like AI), and find more efficient and effective ways to operate.

• User Focus: A dedication to understanding and serving the needs of YouTube users, ensuring that product strategies and operations ultimately enhance the user experience.

Collaboration Style:

• Proactive Communication: Regularly sharing insights, updates, and potential roadblocks with stakeholders across different functions.

• Objective-Based Alignment: Focusing discussions and decisions around achieving defined OKRs and strategic goals.

• Constructive Feedback: Willingness to provide and receive constructive feedback to improve processes and outcomes.

• Knowledge Sharing: Actively contributing to a culture of learning by sharing best practices, analytical findings, and project learnings.

📝 Enhancement Note: Google's culture emphasizes intellectual curiosity, a bias for action, and a collaborative spirit. For this role, expect a high degree of autonomy coupled with strong expectations for teamwork and a data-centric approach to problem-solving. The values align with driving significant impact through rigorous analysis and strategic execution.

⚡ Challenges & Growth Opportunities

Challenges:

• Data Complexity & Scale: Navigating and extracting insights from massive, complex datasets within YouTube's ecosystem.

• Balancing Strategic Vision with Execution: Translating high-level strategic goals into concrete, actionable operational plans and models.

• Cross-Functional Alignment: Gaining buy-in and driving consensus among diverse teams with potentially competing priorities.

• Rapidly Evolving Market: Adapting strategies and operations to the dynamic landscape of streaming, media, and consumer technology.

• Automation Implementation: Successfully integrating AI and automation tools into existing workflows while managing change and ensuring user adoption.

Learning & Development Opportunities:

• Mastering Advanced Analytics: Deepening expertise in predictive modeling, machine learning applications, and causal inference within a real-world product context.

• Strategic Product Development: Gaining hands-on experience in shaping the product roadmap and long-term vision for a major entertainment platform.

• Leadership in Operations: Developing skills in influencing without authority, program management, and driving strategic initiatives across a large organization.

• Industry Insights: Becoming an expert in the nuances of the subscription video-on-demand (SVOD) market, competitive dynamics, and consumer behavior in digital media.

• Exposure to AI/ML: Working closely with cutting-edge AI tools and data science methodologies, positioning for future roles in data-driven strategy.

📝 Enhancement Note: This role presents a significant opportunity to tackle complex, high-impact challenges within a leading tech company. The challenges are directly linked to substantial learning and growth opportunities, particularly in areas of advanced analytics, strategic leadership, and industry specialization.

💡 Interview Preparation

Strategy Questions:

• "How would you approach developing a driver-based model to forecast YouTube TV subscriber growth for the next fiscal year, considering key drivers like marketing spend, content acquisition, and competitor actions?" - Preparation: Practice building a conceptual model, identifying key drivers, and outlining your analytical approach. Be ready to discuss data sources and potential challenges.

• "Describe a time you had to influence stakeholders from different departments (e.g., Engineering, Marketing) to adopt a new strategy or operational process. What was your approach, and what was the outcome?" - Preparation: Prepare a STAR method (Situation, Task, Action, Result) story that highlights your communication, persuasion, and cross-functional collaboration skills.

• "Imagine our core engagement metric for YouTube TV drops by 10% week-over-week. How would you investigate the root cause, and what steps would you take to address it?" - Preparation: Outline a structured problem-solving framework, including data analysis steps, hypothesis generation, and potential solutions. Emphasize data-driven investigation. Company & Culture Questions:

• "What do you see as the biggest strategic challenges and opportunities for YouTube TV in the next 3-5 years?" - Preparation: Research YouTube TV's current market position, competitors, content strategy, and industry trends. Formulate well-reasoned opinions.

• "How do you see the role of Product Strategy and Operations evolving with the increasing use of AI in tech?" - Preparation: Discuss your understanding of AI's impact on analytics, automation, and strategic decision-making. Highlight your experience or interest in leveraging AI tools.

• "Describe your ideal working relationship with a Data Science team." - Preparation: Emphasize collaboration, clear communication of analytical needs, and a shared understanding of business objectives. Discuss how you partner to translate insights into action. Portfolio Presentation Strategy:

• Structure Your Narrative: For each portfolio piece, clearly state the business problem, your specific role and contribution, the methodology used, the key insights derived, and the quantifiable impact.

• Focus on Impact: Quantify results whenever possible. Use metrics and data to demonstrate the value of your work.

• Showcase Process: Be prepared to walk through the steps of your analysis, model building, or automation process. Explain your reasoning and decision-making.

• Highlight Collaboration: If applicable, explain how you worked with others, managed dependencies, and achieved outcomes through teamwork.

• Tailor to the Role: Emphasize projects that are most relevant to subscriber growth, engagement, forecasting, and operational efficiency in a consumer tech/media context.

📝 Enhancement Note: Expect a rigorous interview process that blends technical assessment with strategic thinking and behavioral evaluation. A strong portfolio, coupled with thorough preparation for case studies and strategic questions, will be key to demonstrating your suitability for this role.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Google Careers portal link provided.

• Curate Your Operations Portfolio: Select 2-3 key projects that best demonstrate your experience in quantitative analysis, model development (especially forecasting/driver-based), problem-solving, and driving measurable business impact. Ensure these examples highlight your ability to translate data into actionable insights and strategic recommendations.

• Optimize Your Resume for Operations: Tailor your resume to highlight keywords from the job description, such as "Product Strategy," "Operations," "Analytics," "Forecasting," "SQL," "Data Visualization," "Cross-functional collaboration," and specific industry experience (e.g., subscription products, media). Quantify your achievements with specific metrics.

• Practice Operations Interview Scenarios: Rehearse answering strategic questions, behavioral questions using the STAR method, and be prepared to walk through your portfolio projects. Practice explaining complex analytical concepts clearly and concisely.

• Research Google & YouTube TV's Operations: Understand Google's company culture, values, and its approach to product strategy and operations. Familiarize yourself with YouTube TV's current offerings, market position, and potential growth areas.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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