Technical Lead, Native Commerce Integrations

About the Job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

We are building the foundational protocol and API layer that allows AI agents to interact directly with commerce back ends. We were featured during Google's 2026 I/O Keynote.

In this role, you will be defining the standard schema and handshake mechanisms for agent-to-merchant interactions (discovery, cart, checkout). You will be developing the end-to-end commerce journeys on AIM, Gemini, and other agentic Google surfaces, and will build these over UCP in close collaboration with teams across Search, DeepMind, and other key Google organizations. You will be building the reference implementations and connectors that bridge first-party commerce systems with external and Google agent ecosystems and will also ensure agentic transactions are verifiable, secure, and compliant by default.

People shop on Google more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for Google Commerce is to be an essential part of the shopping journey for consumers - from inspiration to to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today’s digital world.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Lead a team of engineers to design, build, and scale infrastructure and systems that enable businesses to connect with Google’s AI commerce ecosystem.
  
• Drive the technical strategy and product roadmap for AI-driven commerce infra, partnering closely with cross-functional leaders to identify growth opportunities and technical solutions.
  
• Contribute directly to the codebase and system design across the full technical stack, while also supporting the development of new infra for partners.
  
• Manage and mentor a team of engineers, fostering a high-performance culture focused on rapid delivery, technical excellence, and long-term career growth.
  
• Collaborate with global infrastructure and platform teams to ensure seamless integration across different technical environments and geographic locations.

Qualifications

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience with software design and architecture.
• Experience with enterprise platforms.
• Experience with full-stack development.
• Experience with people management.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience working with large-scale distributed systems, reliability engineering, throughput and latency.
• Experience coding in Java.