Principal Engineer, Shopping Graph Core Data & AI

Google; Zürich; Vor Ort; CHF 260.000 - 380.000; Vollzeit

Zusammenfassung

Google is seeking a Principal Engineer for Shopping Graph Core Data in Switzerland to lead the AI-driven data infrastructure and scalable graph platforms that power billions of user interactions.

You will drive the evolution of Product Graph and collaborate with multiple engineering and product teams to translate cutting-edge techniques into tangible product impact, while mentoring senior staff and advancing data quality and velocity.

Qualifikationen

• 15 years of experience in software architecture.
• 12 years of experience in machine learning architecture.
• 5 years of experience in a technical thought leader role.

Aufgaben

• Set the technical vision and design the next-generation data infrastructure to support this AI transition, ensuring the scale, resilience, and rich feature set that clients depend on.
• Enable fast iterations on Shopping Graph quality through data-driven decision-making supported by robust evaluation framework and frictionless experimentation.
• Collaborate closely with cross-product area partners (Search, Ads, YouTube, GDM) to leverage their expertise and infrastructure, translating state-of-the-art techniques into tangible, real-world product impact.
• Work with other engineering leads, PMs, and executives to identify areas for further improvement in Shopping Graph, ensuring all relevant domains align seamlessly.
• Guide and mentor senior developers and technical leads, elevating the overall technical competency of the organization.

Kenntnisse

Software architecture

ML architecture

Technical leadership

Tools

LLMs

Graph databases

Data infrastructure design

Jobbeschreibung

Google is seeking a Principal Engineer for Shopping Graph Core Data in Switzerland to lead the AI-driven data infrastructure and scalable graph platforms that power billions of user interactions.

You will drive the evolution of Product Graph and collaborate with multiple engineering and product teams to translate cutting-edge techniques into tangible product impact, while mentoring senior staff and advancing data quality and velocity.