Principal Engineer, Shopping & Delivery Infra (Remote)

Praxy; San Francisco (CA); Hybrid; USD 243,000 - 500,000; Full time

Job summary

Pinterest is seeking a Principal Engineer to lead the technical strategy and execution for the Indexing & Retrieval Infrastructure across Core, Ads, and Shopping. This role sits at the heart of our delivery infra, shaping how fresh, relevant candidates are generated for discovery experiences that power Pinterest at scale.

You will collaborate with product, ML, and infrastructure teams, drive modernization, mentor senior engineers, and leverage AI to accelerate design, prototyping, and decision

Qualifications

• Experience with large-scale indexing, search, or retrieval systems.
• Proven cross-team technical leadership and influencing direction.
• Modernization of architectures including migrations and shared platforms.
• Strong communication for senior technical and non-technical audiences.
• Experience using AI to improve engineering workflows.

Responsibilities

• Define long-term technical vision for indexing and retrieval infrastructure across Core, Ads, and Shopping.
• Lead cross-org modernization of indexing architecture and real-time/incremental retrieval systems.
• Partner with engineering, product, ML, and infra leaders to align priorities and deliver platform capabilities.
• Raise the technical bar through architecture reviews and complex system design across ingestion, indexing, retrieval, and quality evaluation.
• Build shared platform capabilities and tooling for metrics, tuning, and debugging.

Skills

Indexing systems

Real-time retrieval

Distributed infrastructure

Leadership

AI in engineering

Education

Bachelor's/Master's degree

Job description

Pinterest is seeking a Principal Engineer to lead the technical strategy and execution for the Indexing & Retrieval Infrastructure across Core, Ads, and Shopping. This role sits at the heart of our delivery infra, shaping how fresh, relevant candidates are generated for discovery experiences that power Pinterest at scale.

You will collaborate with product, ML, and infrastructure teams, drive modernization, mentor senior engineers, and leverage AI to accelerate design, prototyping, and decision