Product Strategy and Operations Lead, AI and Infrastructure

📍 Job Overview

Job Title: Product Strategy and Operations Lead, AI and Infrastructure

Company: Google

Location: Kirkland, WA | Seattle, WA | Sunnyvale, CA

Job Type: Full-Time

Category: Revenue Operations / Product Operations / Business Strategy

Date Posted: 2026-06-23

Experience Level: 10+ Years

Remote Status: On-site

🚀 Role Summary

• Drives critical business and product strategy initiatives for Google's AI and Cloud Infrastructure (ACI) divisions, focusing on external-facing Cloud businesses and internal-facing CoreML and Technical Infrastructure.

• Orchestrates operational cadences, including annual planning (ZBB, Headcount, OpEx), business reviews, and KPI tracking to ensure efficient execution and timely decision-making.

• Develops commercial models, pricing, packaging strategies, and robust business cases and financial projections to support strategic product decisions.

• Leverages data-driven insights, market analysis, and technical acumen to provide strategic recommendations to senior leadership, influencing long-term product roadmap and business direction.

📝 Enhancement Note: This role sits at the intersection of Product Operations, Revenue Operations, and Strategic Planning, with a strong emphasis on driving business strategy for complex, high-growth technology products. The "Lead" title combined with the extensive experience requirements suggests a significant level of autonomy and influence, requiring a candidate who can operate strategically while managing detailed operational execution within a large, matrixed organization. The focus on AI and Infrastructure implies a need for deep understanding of technology trends and market dynamics in these rapidly evolving spaces.

📈 Primary Responsibilities

• Spearhead the development of comprehensive business and product strategies for various domains within Machine Learning, AI Cloud systems, and Technical Infrastructure, collaborating closely with Product Management and Engineering leadership.

• Enable Product and Engineering leadership to make informed, long-term product strategy decisions aligned with the strategic objectives and needs of Google Cloud Platform (GCP).

• Construct sophisticated commercial models, sophisticated pricing and packaging strategies, compelling business cases, and detailed financial models/projections to support new initiatives and existing product lines.

• Deliver incisive, data-driven strategic recommendations to executive leadership, grounded in deep strategic insights, rigorous analysis, practical experience, strong technical acumen, and sound judgment.

• Lead the operational cadence for managing the business, including defining and meticulously tracking key product and business metrics or Key Performance Indicators (KPIs).

• Orchestrate and facilitate monthly and quarterly business reviews (QBRs) to enable timely feedback, strategic adjustments, and critical decision-making processes.

• Drive the annual planning cycle, including Zero-Based Budgeting (ZBB), headcount allocation, and operational expenditure (OpEx) planning, for effective resource allocation across prioritized strategic initiatives.

📝 Enhancement Note: The responsibilities clearly indicate a role that requires a blend of strategic foresight and operational rigor. The emphasis on "driving" and "leading" suggests a proactive approach, moving beyond mere support to actively shaping business direction. The mention of ZBB and OpEx planning points to a need for strong financial acumen and experience in resource optimization within large tech organizations.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in a relevant field (e.g., Business, Engineering, Computer Science) or equivalent practical experience.

• Preferred: MBA or Master's degree in a management, technical, or engineering field, or equivalent practical experience. Experience:

• Minimum 8 years of progressive experience in management consulting, product management and strategy, or analytics within a technology company.

• Minimum 7 years of experience in roles such as Management Consulting, Product Management, Corporate Development, High-Tech Engineering, Operations, or Finance/Investment Banking/Venture Capital.

• Proven experience working with and analyzing complex datasets, and successfully managing multiple concurrent projects.

• Demonstrated experience managing operational initiatives across diverse functional domains and geographical regions, showcasing an understanding of global operational complexities. Required Skills:

• Product Strategy Development: Ability to define and articulate long-term product visions, roadmaps, and strategic plans for complex technology products.

• Business Operations Management: Expertise in managing operational cadences, defining KPIs, and driving business reviews to ensure alignment and performance.

• Data Analysis & Interpretation: Strong analytical skills to dissect complex data, derive actionable insights, and support data-driven decision-making.

• Management Consulting Frameworks: Proficiency in applying consulting methodologies for strategic problem-solving, market analysis, and business case development.

• Financial Modeling & Business Case Development: Experience in building financial models, commercial models, pricing strategies, and robust business cases for new products or initiatives.

• Go-To-Market (GTM) Strategy: Understanding of GTM principles and ability to contribute to strategy development for product launches and market penetration.

• Strategic Planning: Ability to develop multi-year business plans, operational plans, and strategic initiatives aligned with organizational goals.

• Cross-functional Leadership: Demonstrated ability to influence and collaborate effectively with diverse teams, including Engineering, Product Management, Sales, Marketing, Finance, and Corporate Development.

Preferred Skills:

• Infrastructure & Cloud Expertise: Deep understanding of Infrastructure (e.g., data centers, networking, hardware) and Cloud computing (e.g., GCP, AWS, Azure) business models and technologies.

• Enterprise/B2B Business Acumen: Experience with Enterprise and Business-to-Business (B2B) sales cycles, customer needs, and go-to-market strategies in a B2B context.

• Executive Presentation Skills: Ability to craft and deliver compelling presentations to executive leaders and stakeholders, effectively communicating complex strategies and recommendations.

• Partnership Building: Proven ability to build strong, collaborative partnerships with executive leaders and their teams across a large organization like Google.

• Strategic Recommendation Formulation: Expertise in synthesizing strategic insights, market analysis, technical acumen, and good judgment to formulate actionable recommendations.

• Problem-Solving & Analytical Rigor: Exceptional strategic thinking, problem-solving capabilities, analytical skills, and attention to detail.

• Communication Excellence: Superior written and verbal communication skills, with the ability to articulate complex ideas clearly and persuasively.

📝 Enhancement Note: The distinction between minimum and preferred qualifications, particularly the MBA/Master's and specific industry experience (Infrastructure, Cloud, B2B), highlights the strategic and analytical depth expected. The emphasis on "equivalent practical experience" is a common Google qualifier, indicating that demonstrated skills and impact can substitute for formal education in some cases. The "10+" years of experience derived from the combination of minimum requirements (8+ and 7+) strongly suggests a senior-level role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Strategic Planning Case Studies: Showcase examples of developing multi-year business plans, product strategies, or market entry strategies.

• Business Case & Financial Model Examples: Present well-structured business cases with clear financial projections, ROI analysis, and sensitivity testing.

• Operational Cadence & KPI Management: Demonstrate experience in defining, tracking, and reporting on key business metrics and operational KPIs, with examples of how these informed decision-making.

• Process Optimization Documentation: Include documentation of processes improved or created, highlighting efficiency gains, cost savings, or revenue impact.

• Cross-functional Project Leadership: Evidence of leading complex projects involving multiple departments, illustrating collaboration, stakeholder management, and successful outcomes.

Process Documentation:

• Strategic Initiative Design: Document the process of conceptualizing, scoping, and planning strategic initiatives, including market research, competitive analysis, and feasibility studies.

• Operational Workflow Optimization: Showcase processes for designing, implementing, and refining operational workflows to enhance efficiency, reduce bottlenecks, and improve overall business performance.

• Performance Measurement & Reporting Frameworks: Present frameworks for defining, measuring, and reporting on key business metrics and KPIs, including the development of dashboards and review mechanisms.

• Business Review Cadence Management: Detail the process and structure for conducting monthly and quarterly business reviews, including agenda setting, data preparation, and outcome documentation.

📝 Enhancement Note: For a role at this level, a portfolio is crucial. It should not just list achievements but demonstrate the process by which those achievements were realized. Candidates should be prepared to walk through their contributions to strategic planning, financial modeling, and operational improvements, clearly articulating their role, the challenges faced, the methodologies used, and the measurable impact. The emphasis on "external-facing AI and Computing Infrastructure (ACI) Cloud business" and "internal-facing CoreML and Technical Infrastructure (TI)" means portfolio examples relevant to these domains will be highly valued.

💵 Compensation & Benefits

Salary Range:

• US: $150,000 - $218,000 (USD) per year.

• This range is based on the provided information and reflects Google's compensation structure for senior-level roles in high-cost-of-living areas like Kirkland, Seattle, and Sunnyvale. Benefits:

• Bonus Target: Target bonus of 15% of base salary, performance-dependent.

• Equity: Stock options or grants, providing long-term incentive and ownership.

• Comprehensive Benefits Package: Includes health insurance (medical, dental, vision), retirement savings plans (e.g., 401k with company match), paid time off (vacation, holidays, sick leave), parental leave, life insurance, disability insurance, and access to various employee wellness programs.

• Additional benefits may include commuter benefits, employee assistance programs, and professional development opportunities. Working Hours:

• Standard full-time role, typically 40 hours per week.

• While the role is on-site, Google often offers flexibility in daily schedules, allowing for adjustments based on team needs and personal productivity, provided operational responsibilities and collaboration requirements are met.

📝 Enhancement Note: The salary range provided is a broad band. Actual compensation within this band will be determined by a candidate's specific experience, skills, qualifications, and performance during the interview process. The bonus and equity components are significant parts of the total compensation package for senior roles at Google. The stated benefits are standard for large tech companies, but specific details can be found on Google's benefits portal. The "On-site" designation means candidates should expect to work from one of the specified office locations.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Software, Hardware, Cloud Computing, Artificial Intelligence)

Company Size: Large Enterprise (Google is part of Alphabet Inc., with hundreds of thousands of employees globally). This size offers immense resources, global reach, and complex organizational structures.

Founded: 1998. Google's history is marked by innovation, rapid growth, and a data-driven culture that emphasizes user focus and technological advancement.

Team Structure:

• Cross-functional Collaboration: The role operates within a highly matrixed environment, requiring close collaboration with Product Management, Engineering, Sales, Marketing, Finance, Corporate Development, Supply Chain, and other GTM functions.

• Reporting Structure: While specific reporting lines aren't detailed, this role likely reports into a senior leader within Product Strategy, Business Operations, or a similar strategic function, with potential dotted-line reporting or strong influence over project teams.

• Specialization: The team likely comprises individuals with diverse backgrounds in strategy, operations, finance, and technical domains, specializing in areas like AI, Infrastructure, Cloud, and core technology.

Methodology:

• Data-Driven Decision Making: Employs rigorous data analysis, market research, and performance metrics to inform strategic decisions and operational improvements.

• Strategic Planning & Execution: Focuses on developing long-term strategic plans and ensuring efficient execution through robust operational processes and cadences.

• Innovation & Scalability: Drives initiatives that support innovation, enable scaling of complex systems, and optimize efficiency at a hyperscale level.

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

📝 Enhancement Note: Google's culture is often described as innovative, fast-paced, and data-centric. For operations and strategy roles, this translates to a need for adaptability, strong analytical skills, and the ability to influence without direct authority. The scale of Google means that operational improvements and strategic shifts can have a massive impact, making this role highly influential.

📈 Career & Growth Analysis

Operations Career Level: This is a senior-level "Lead" position, indicating a significant scope of responsibility and influence. It is beyond an individual contributor role and requires strategic leadership, project management, and stakeholder influence. It's a critical role for driving business outcomes within the AI and Infrastructure domains.

Reporting Structure: The role will likely report to a Director or Vice President level executive within the AI/Infrastructure product organization or a central Strategy & Operations group. Collaboration will be extensive across Product Management and Engineering VPs and Directors.

Operations Impact: This role has a direct impact on the success of Google's most critical and fastest-growing businesses: AI and Cloud Infrastructure. By shaping product strategy, optimizing operations, and driving financial planning, the Lead will influence revenue growth, market share, operational efficiency, and the overall competitive positioning of Google's AI and infrastructure offerings.

Growth Opportunities:

• Leadership Expansion: Potential to lead larger teams, broader strategic areas, or more complex operational initiatives within Google's AI and Infrastructure divisions.

• Strategic Specialization: Deepen expertise in specific areas of AI, ML, Cloud, or Infrastructure strategy and operations, becoming a recognized subject matter expert.

• Cross-Functional Mobility: Opportunities to move into senior Product Management, GTM leadership, or general management roles, leveraging the broad strategic and operational experience gained.

• Executive Influence: Continuous engagement with senior leadership provides opportunities for mentorship and development towards executive-level roles within Google.

📝 Enhancement Note: The "Lead" title signifies a stepping stone to more senior leadership positions. The experience gained in driving strategy for core Google products, managing complex operational cadences, and influencing executive decision-making is highly valuable for career advancement within Google and the broader tech industry.

🌐 Work Environment

Office Type: On-site work at one of Google's major technology hubs. This environment is designed for collaboration, innovation, and access to company resources.

Office Location(s): Kirkland, WA; Seattle, WA; Sunnyvale, CA. These are key technology centers for Google, offering robust infrastructure and a vibrant tech community.

Workspace Context:

• Collaborative Spaces: Access to modern office spaces designed for teamwork, including meeting rooms, brainstorming areas, and open-plan work zones.

• Tools & Technology: Equipped with state-of-the-art technology, high-speed internet, and access to Google's internal suite of productivity and collaboration tools.

• Team Interaction: Ample opportunities for face-to-face interaction with colleagues, fostering a strong sense of team cohesion and facilitating spontaneous knowledge sharing and problem-solving.

Work Schedule: While the role is on-site and full-time (40 hours/week), Google typically supports flexible working arrangements within the office framework, allowing for some adjustment in daily start/end times to accommodate personal needs, provided core collaboration hours and operational demands are met.

📝 Enhancement Note: The on-site requirement is key for this role, emphasizing the importance of in-person collaboration, spontaneous problem-solving, and direct engagement with teams and leadership within these major Google campuses.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or Recruiter call to assess basic qualifications, interest, and cultural fit.

• Hiring Manager Interview: In-depth discussion about experience, strategic thinking, operational expertise, and alignment with the role's responsibilities. Expect questions on past projects, strategic challenges, and leadership style.

• Technical/Functional Interviews: Series of interviews focusing on specific skills such as product strategy, business operations, financial modeling, data analysis, and GTM. These may involve case studies or problem-solving exercises.

• Cross-functional/Peer Interviews: Conversations with potential colleagues or stakeholders from Engineering, Product Management, or other related teams to assess collaboration skills and impact.

• Executive/Leadership Interview: A final interview with a senior leader to assess strategic vision, executive presence, and overall fit for the role and company culture.

Portfolio Review Tips:

• Curate Select Examples: Choose 3-5 of your most impactful projects that directly align with the role's responsibilities (strategy development, operational improvement, business case creation, GTM strategy).

• Structure Your Stories: For each project, clearly articulate:

  • The Problem/Opportunity: What was the business challenge or strategic imperative?
  • Your Role & Actions: What specific steps did you take? What methodologies did you employ?
  • The Impact & Results: Quantify outcomes with metrics (revenue, cost savings, efficiency gains, market share growth, etc.).

• Highlight Process: Emphasize the how – the strategic frameworks used, the analytical methods, the stakeholder management process, and how you overcame obstacles.

• Tailor to Google's Context: Where possible, frame your experience in terms of scale, impact, and innovation relevant to a company like Google.

• Be Prepared for Deep Dives: Anticipate questions about your decision-making process, trade-offs made, and lessons learned.

Challenge Preparation:

• Strategic Case Study: Be prepared for a case study that requires you to analyze a business problem, develop a strategy, and propose operational recommendations. Practice structuring your analysis logically and presenting actionable insights.

• Operational Problem-Solving: Expect questions about how you would manage specific operational challenges, define KPIs for a new product, or improve a business review process.

• Financial Modeling/Business Case: You might be asked to outline the key components of a business case or discuss how you would approach pricing for a new AI service.

• Stakeholder Management Scenarios: Practice articulating how you would gain buy-in from diverse stakeholders for a strategic initiative.

📝 Enhancement Note: Google's interview process is known for its rigor. Candidates should prepare to demonstrate not only their technical and strategic capabilities but also their ability to think systematically, communicate clearly, and collaborate effectively. The portfolio is a critical tool for showcasing tangible impact and the thought process behind it.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management & Strategy Tools: Internal Google tools for roadmap planning, project management, and strategy documentation. Familiarity with concepts behind tools like Aha!, Productboard, or Jira for strategic planning and execution is beneficial.

• Data Analysis & Visualization: Proficiency with SQL for data extraction, and tools like Google Sheets, Google Data Studio (Looker Studio), or Tableau for analysis and dashboard creation. Experience with Python or R for more advanced statistical analysis may be advantageous.

• Financial Modeling Software: Advanced Excel skills are essential for building financial models, commercial models, and business cases. Experience with financial planning tools or enterprise performance management (EPM) systems could be a plus.

• Presentation Software: Mastery of Google Slides (or PowerPoint) for creating and delivering executive-level presentations.

Analytics & Reporting:

• Internal Google Analytics Platforms: Deep understanding of how to leverage internal data and analytics platforms to derive insights on product performance, market trends, and business health.

• Business Intelligence (BI) Tools: Experience with BI platforms for creating dashboards and reports to track KPIs and communicate performance to stakeholders.

CRM & Automation:

• CRM Systems (e.g., Salesforce): While not explicitly mentioned, understanding CRM principles and data management is valuable for roles interacting with Sales and GTM functions.

• Automation Concepts: Familiarity with process automation concepts and tools that can streamline operational tasks and reporting.

📝 Enhancement Note: While Google utilizes proprietary internal tools, demonstrating proficiency with industry-standard equivalents and a strong understanding of the underlying principles of data analysis, financial modeling, and strategic planning tools is crucial. The ability to quickly learn and adapt to new internal systems is also a key expectation.

👥 Team Culture & Values

Operations Values:

• User Focus: A core Google value, meaning all strategies and operational improvements should ultimately serve the end-user, whether internal developers or external customers.

• Data-Driven Approach: Decisions are heavily influenced by data and rigorous analysis; candidates must be comfortable with metrics and quantitative reasoning.

• Bias for Action & Execution: While strategy is crucial, Google values individuals who can translate plans into tangible outcomes efficiently and effectively.

• Collaboration & Teamwork: Success is achieved through collective effort; fostering strong working relationships and open communication is paramount.

• Innovation & Continuous Improvement: A culture that encourages experimentation, learning from failures, and constantly seeking better ways to operate and build products.

Collaboration Style:

• Cross-functional Integration: Expect a highly collaborative environment where working across different departments (Engineering, Product, Sales, Marketing, Finance) is the norm.

• Direct & Transparent Communication: Google values open, honest, and direct communication, even when discussing challenging topics or differing opinions.

• Feedback Culture: Employees are encouraged to give and receive constructive feedback regularly to foster continuous improvement.

• Knowledge Sharing: A strong emphasis on sharing insights, best practices, and lessons learned across teams.

📝 Enhancement Note: Candidates should demonstrate an alignment with Google's core values, particularly the emphasis on data, execution, and collaboration. Understanding how these values translate into daily work and decision-making is key to cultural fit.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Scale & Complexity: Managing strategy and operations for products operating at Google's massive scale requires sophisticated approaches to problem-solving and decision-making.

• Balancing Innovation with Execution: Finding the right balance between pursuing groundbreaking innovation in AI/Infrastructure and ensuring efficient, reliable execution of existing services.

• Cross-Functional Alignment: Achieving consensus and driving alignment among diverse stakeholders with potentially competing priorities across multiple large organizations.

• Rapidly Evolving Technology Landscape: Staying ahead of the curve in fast-moving fields like AI and Cloud Computing, requiring continuous learning and adaptation.

Learning & Development Opportunities:

• Deep Dive into AI/Infrastructure: Gain unparalleled expertise in cutting-edge AI models, large-scale computing infrastructure, and global cloud services.

• Strategic Leadership Development: Opportunities to hone strategic planning, financial modeling, and executive communication skills through high-impact projects and senior leadership exposure.

• Industry Conferences & Training: Access to industry events, workshops, and internal training programs to stay abreast of the latest technologies and business strategies.

• Mentorship Programs: Benefit from mentorship from experienced leaders within Google, guiding career progression and skill development.

📝 Enhancement Note: This role presents significant challenges due to the scale and complexity of Google's operations and the rapid evolution of the AI and Infrastructure domains. However, these challenges are also the source of immense growth and learning opportunities for ambitious professionals.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you developed a multi-year product strategy. What was your process, what were the key considerations, and what was the outcome?" (Focus on methodology, data, and impact).

• "How would you approach developing a pricing strategy for a new AI-powered cloud service? What factors would you consider?" (Test business acumen and market understanding).

• "Walk me through a complex business case you built. What were the assumptions, financial projections, and how did you present it to leadership?" (Demonstrate financial modeling and presentation skills). Company & Culture Questions:

• "Why are you interested in Google, specifically the AI and Infrastructure space?" (Show genuine interest and research).

• "How do you handle disagreements with engineering or product teams regarding strategic direction?" (Assess collaboration and communication style).

• "Describe a situation where you had to drive a significant operational change. How did you gain buy-in and measure success?" (Evaluate leadership and execution capabilities). Portfolio Presentation Strategy:

• Start with the "Why": Clearly articulate the strategic context and business objective for each project.

• Quantify Everything: Use numbers and metrics to demonstrate impact. If exact figures aren't available, use estimates and explain your reasoning.

• Focus on Your Role: Be specific about your contributions, even in team projects. Use "I" statements when describing your actions.

• Structure for Clarity: Use a problem-action-result framework for each case study.

• Anticipate Questions: Prepare to discuss trade-offs, challenges, lessons learned, and alternative approaches.

📝 Enhancement Note: Preparation should focus on articulating past experiences using the STAR method (Situation, Task, Action, Result) and demonstrating a deep understanding of strategic frameworks, operational excellence, and data-driven decision-making relevant to the AI and Infrastructure domains.

📌 Application Steps

To apply for this operations position:

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

• Portfolio Curation: Select 3-5 key projects that showcase your strategic planning, business case development, operational leadership, and data analysis skills. Ensure these examples are quantifiable and clearly demonstrate your impact.

• Resume Optimization: Tailor your resume to highlight keywords from the job description, emphasizing experience in AI, Infrastructure, Cloud, strategy, operations, financial modeling, and cross-functional leadership. Quantify achievements wherever possible.

• Interview Preparation: Practice articulating your experience using the STAR method and prepare for case study scenarios related to strategy, operations, and financial analysis. Rehearse your portfolio presentation.

• Company Research: Deeply understand Google's AI and Infrastructure business, its market position, key competitors, and recent developments. Familiarize yourself with Google's culture and values.

⚠️ 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.