AI Data Engineer Jobs at Google with Visa Sponsorship

INTRODUCTION

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

The Global Business Transformation team is building the AI-native future of Google's Platforms and Devices organization (e.g., Android, Chrome, Pixel, Nest, and Fitbit). We are on a mission to create the industry’s most efficient commercial platform by unlocking a new era of productivity where teams, processes, and AI Agents work as one.

As a Product Lead, you will own the outlook, strategy, and execution of Business 360 - a foundational application designed to revolutionize how our organization makes decisions. Built entirely on the Google technology stack, Business 360 is a comprehensive decision intelligence platform that stitches together multi-dimensional data, uncovers AI-driven insights, and executes agentic workflows to drive real business outcomes. As the cornerstone of our end-to-end data and analytics strategy, this platform serves a different set of regional and global personas.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

ROLE AND RESPONSIBILITIES

• Collaborate with regional and global users, engineering leads, and UX design to define and refine the long-term outlook and strategy.
• Serve as the ultimate gatekeeper for product scope by making tough prioritization calls while ensuring the core end-to-end data and insights mission is delivered on time.
• Bridge the gap between complex business requirements and the Google tech stack (BigQuery, Vertex AI, etc.), ensuring the engineering team has clear, buildable mandates.
• Architect the platform by embedding Gemini conversational analytics, AI and user-generated insights, and simulation models directly into the user workflow to drive actionable decision-making.
• Establish the high-fidelity data foundation required for autonomous AI workflows. Help define and enforce data quality, lineage, and access controls, ensuring that both our global users and our AI agents are making decisions based on secure, accurate, and compliant data.

MINIMUM QUALIFICATIONS

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.
• Experience with Artificial Intelligence.
• Experience with analytics.

PREFERRED QUALIFICATIONS

• 8 years of experience managing cross-functional or cross-team projects.
• Experience with product management, specifically building data-heavy, analytics, or AI-driven applications from 0-to-1 or 1-to-N.
• Proficiency in SQL.
• Understanding of Large Language Models (LLMs).
• Understanding of LLMs, Vertex AI, and orchestration frameworks (e.g., LangChain, LlamaIndex), the mechanics of Retrieval-Augmented Generation (RAG) and how to translate business logic into autonomous, multi-step agentic workflows.

COMPENSATION

The US base salary range for this full-time position is $192,000-$278,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.