Lead Engineer - Shopping Product Graph & Data Platform

Google; Pittsburgh (Allegheny County); On-site; USD 262,000 - 364,000; Full time

Job summary

Google in Pittsburgh, PA is hiring a Lead Engineer for the Shopping Product Graph, Data Infrastructure. You will shape data infrastructure at scale for billions of products and work with ML/AI to extract features and ensure high accuracy.

The role requires owning outcomes, guiding a cross-functional team, and influencing product direction, with diverse AI/ML, graph storage, and data pipeline responsibilities.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in machine learning architecture.
• Experience with graph storage and knowledge base systems.
• Experience with data pipeline infrastructure and quality.
• Experience leading engineering velocity and experimentation.

Responsibilities

• Set the technical outlook and design data infrastructure to support scale and resilience.
• Enable fast iterations on graph quality through data-driven decisions and experiments.
• Collaborate with cross-product area partners to translate techniques into product impact.
• Work with engineering leads, PMs, and executives to drive broader improvements.
• Mentor executive developers and technical leads to raise technical competency.

Skills

Machine learning architecture

Graph storage

Data pipelines

Leadership & experimentation

Knowledge engineering

Data structures & algorithms

Education

Bachelor's degree

Master's degree / PhD

Tools

Knowledge graphs

Job description

Google in Pittsburgh, PA is hiring a Lead Engineer for the Shopping Product Graph, Data Infrastructure. You will shape data infrastructure at scale for billions of products and work with ML/AI to extract features and ensure high accuracy.

The role requires owning outcomes, guiding a cross-functional team, and influencing product direction, with diverse AI/ML, graph storage, and data pipeline responsibilities.