Principal Engineer, Shopping & Delivery Infra

Pinterest

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$242,634–$499,541 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $211k
This role $371k
$108k most similar roles pay here $541k

This role pays more than 99% of similar roles. Most pay $180,500–$241,725 — the shaded band above. At the midpoint, this role pays about $371k versus about $211k for comparable roles.

Based on 240 similar postings.

Employer

About Pinterest

Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.

Pinterest currently has 21 open roles on FindRole.

Listed pay typically runs $177,185–$339,078 across 21 roles with salary data.

Most-posted roles

View all roles at Pinterest

At a glance

TL;DR · Principal Engineer, Shopping & Delivery Infra

Principal Engineer, Shopping & Delivery Infra joins the delivery infrastructure organization to lead technical strategy and execution for Indexing & Retrieval Infrastructure across Core, Ads, and Shopping. This role focuses on modernizing indexing architecture by developing unified real-time and incremental retrieval systems to improve candidate generation quality, freshness, and cost efficiency. The engineer will define long-term technical visions, oversee system designs for document ingestion and quality evaluation, and build shared platform capabilities like common metrics and debugging workflows. Key responsibilities include mentoring senior engineers and leveraging AI tools to accelerate prototyping, analysis, and documentation. Candidates must possess deep expertise in large-scale search, recommendation, or ads retrieval systems and distributed infrastructure. The role addresses the technical challenge of balancing relevance, safety, and engagement while managing high-scale discovery experiences across multiple product surfaces.

What does a Engineer earn in California?

Median $209800 from 87 postings across 24 companies.

See salary data

What you'll do

  • Define and drive the long-term technical vision for indexing and retrieval infrastructure across Core, Ads, and Shopping.
  • Lead cross-org initiatives to modernize architecture by advancing unified real-time and incremental retrieval systems.
  • Partner with engineering, product, and ML leaders to align priorities and deliver shared platform capabilities.
  • Raise the technical bar by guiding system design, architecture reviews, and execution on complex infrastructure changes.
  • Build shared platform tools for common metrics, tuning surfaces, and debugging workflows to balance performance and cost.
  • Mentor senior engineers and technical leaders to foster high standards for engineering judgment and operational excellence.
  • Leverage AI tools to accelerate analysis, prototyping, and the creation of design artifacts for system improvements.

What we're looking for

  • Bachelor’s or Master’s degree in Computer Science, Engineering, a related technical field, or equivalent experience.
  • Deep expertise building large-scale indexing, search, recommendation, or ads retrieval systems with real-time and incremental architectures.
  • Strong technical leadership experience influencing direction and aligning stakeholders across multiple teams or organizations.
  • Proven ability to lead large modernization efforts such as architectural convergence and migration from legacy systems at scale.
  • Exceptional systems thinking to connect platform design decisions to product quality, ML needs, and business outcomes.
  • Strong communication skills to distill complex technical topics for both technical and non-technical audiences.
  • Demonstrated experience using AI to improve engineering workflows including analysis, prototyping, and documentation.
  • Proven ability to critically evaluate and validate AI-assisted work through testing and sound engineering judgment.

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