Lead Engineer: Shopping Product Graph & Data Infrastructure

Google; United States; On-site; USD 262,000 - 364,000; Full time

Job summary

Google is seeking a Lead Engineer for the Shopping Product Graph, Data Infrastructure in Pittsburgh, PA. You will own the technical direction, design scalable data infrastructure, and write robust software to solve large-scale problems.

You will collaborate with cross-functional partners to drive experiments, improve product graph quality, and translate technical advances into tangible product impact across Google services.

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 the data infrastructure to support the necessary scale, resilience, and rich feature set that clients depend on.
• Write robust code to solve ambiguous, large-scale problems.
• Enable fast iterations on product graph quality through data-driven decision-making supported by experiments and evaluations.
• Collaborate closely with cross-product area partners to leverage their expertise and infrastructure, translating techniques into tangible, real-world product impact.
• Work with other engineering leads, Product Managers, and executives to identify areas for further improvement in the broader shopping graph, ensuring all relevant domains align seamlessly.
• Guide and mentor executive developers and technical leads, elevating the overall technical competency of the organization.

Skills

Machine learning architecture

Graph storage

Knowledge base systems

Data pipeline infrastructure

Experimentation leadership

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Engineering/CS/related field

Job description

Google is seeking a Lead Engineer for the Shopping Product Graph, Data Infrastructure in Pittsburgh, PA. You will own the technical direction, design scalable data infrastructure, and write robust software to solve large-scale problems.

You will collaborate with cross-functional partners to drive experiments, improve product graph quality, and translate technical advances into tangible product impact across Google services.