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.
As the industry undergoes a disruptive shift driven by Agentic surfaces and new AI technologies, Google Shopping stands at a pivotal moment. Our Shopping data platforms manage billions of product offers from merchants across the world (including Ads, Discovery, Search, YouTube, Gmail, Shopping tab, and Maps) and represent a major business generation stream for the company. While this surface complexity is a significant engaging asset in the Agentic Shopping era, it also creates substantial analytics and engineering hurdles.
Our team is responsible for the centralized platform used to define, implement, and distribute the organization's primary data products for all Shopping use cases. As Google teams and external merchants navigate the global AI revolution, providing fast and precise data sourcing is essential for strategy development and accurate headroom analysis.
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.
The US base salary range for this full-time position is $207,000-$300,000 + 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.
Responsibilities
- Lead cross-stack design initiatives and provide direct coding contributions to enhance the technical stack.
- Provide overarching leadership on data measurement, analytics, and experimentation through direct full-stack knowledge of Google Shopping systems and direct engagement in the organization’s high priority launches.
- Act as a link between strategic executive goals and the practical implementation of data initiatives, coordinating with specialized data engineers and software engineers within feature teams.
- Participate in the coordination of Data Teams across Mountain View, London, and Zurich sites.
- Guide and coach junior colleagues in software engineering, data engineering, and data scientist roles.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in C++, Java, Python, Kotlin or Go.
- 5 years of experience testing, and launching software products.
- 3 years of experience with software design and architecture.
- Experience with data processing or data analytics.
Preferred qualifications:
- Experience in common programming languages, such as Python, C++, Go, and SQL.
- Experience in fostering collaboration and building cross-functional synergy without relying on formal reporting structures.
- Experience in executive-level communication, delivering concise and impactful updates to executive leadership, including VPs and Directors.
- Experience performing comprehensive, self-directed research as an individual contributor within fast-paced, complex environments.
- Excellent leadership skills with the ability to resolve conflicts of interest autonomously to achieve meaningful results.