Product Strategy and Operations, Artificial Intelligence and Infrastructure

📍 Job Overview

Job Title: Product Strategy and Operations, Artificial Intelligence and Infrastructure

Company: Google

Location: Sunnyvale, CA / Seattle, WA

Job Type: Full-Time

Category: Product Strategy & Operations

Date Posted: August 3, 2026

Experience Level: Mid-Level (2-5 years)

Remote Status: On-site

🚀 Role Summary

• Drive strategic initiatives and operational excellence for Artificial Intelligence and Infrastructure (AI2) domains within Google Cloud Platform (GCP).

• Collaborate closely with Product and Engineering leadership to shape long-term product strategy and ensure alignment with GCP objectives.

• Identify, design, and implement scalable solutions for process and system inefficiencies, particularly focusing on product launch and regional expansion billing/SKU management workflows.

• Partner cross-functionally with Sales, Marketing, GTM, Finance, Billing, and Business Programs to advance key strategic AI2 initiatives.

📝 Enhancement Note: This role sits at the intersection of Product Strategy and Operations, requiring a strong understanding of how to translate strategic vision into executable operational plans, with a specific focus on the complex ecosystem of AI/ML products within a major cloud provider. The emphasis on billing and SKU management suggests a need for deep operational understanding of commercialization processes for cloud services.

📈 Primary Responsibilities

• Lead the development and execution of business and product strategy for AI2 domains, directly influencing the strategic direction of Google Cloud Platform.

• Analyze and diagnose critical issues within existing operational processes and systems, proposing and designing robust, scalable solutions.

• Spearhead the implementation of process and system upgrades across the broader organization, with a particular emphasis on optimizing product launch timelines and regional expansion billing and SKU management workflows.

• Foster strong cross-functional partnerships with key stakeholders across Google Cloud, including Sales, Marketing, Go-To-Market (GTM) teams, Finance, Billing, and Business Programs to ensure seamless execution of strategic AI2 initiatives.

• Develop and manage business plans, analyze market trends, and provide data-driven insights to support strategic decision-making for AI2 product roadmaps.

• Facilitate effective communication and collaboration between Product, Engineering, UX, Sales, Marketing, and other functions to ensure successful product development and delivery.

📝 Enhancement Note: The responsibilities clearly indicate a need for a candidate who can bridge the gap between high-level strategy and ground-level execution. The focus on "product launch and regional expansion billing and SKU management workflows" highlights a critical operational area that requires meticulous planning, cross-functional coordination, and a deep understanding of cloud commercialization models.

🎓 Skills & Qualifications

Education:

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

• Advanced degree (Master's or PhD) in a related field is preferred, indicating a strong analytical and research aptitude. Experience:

• A minimum of 4 years of experience in management consulting, product management and strategy, or analytics within a technology company.

• Proven experience in managing multiple complex projects concurrently, demonstrating strong organizational and prioritization skills.

• Demonstrated experience working effectively with product and engineering teams, understanding their workflows and challenges.

• Substantial experience in analyzing and interpreting data to derive actionable insights and inform strategic decisions. Required Skills:

• Product Strategy Development: Ability to define and articulate product vision, strategy, and roadmap, especially within the AI/ML and Infrastructure domains.

• Operations Management: Expertise in identifying operational bottlenecks, designing scalable solutions, and driving process improvements, with a focus on commercialization workflows.

• **Data Analysis & Interpretation