Principal Engineer, Shopping & Delivery Infra

Pinterest

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
San Francisco, CAPalo Alto, CASeattle, WA
Salary
$285,452–$449,541 / yr
Posted
7 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $200k
This role $367k
$106k most similar roles pay here $486k

This role pays more than 99% of similar roles. Most pay $174,600–$225,500 — the shaded band above. At the midpoint, this role pays about $367k versus about $200k 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 82 open roles on FindRole.

Listed pay typically runs $164,695–$337,990 across 82 roles with salary data.

Most-posted roles

View all roles at Pinterest

At a glance

TL;DR · Principal Engineer, Shopping & Delivery Infra

As a Principal Engineer, Shopping & Delivery Infra, you will join the delivery infrastructure organization to lead the technical strategy and execution for Indexing & Retrieval Infrastructure across Core, Ads, and Shopping. You will define long-term visions for indexing architecture, modernize systems with unified real-time and incremental retrieval, and build shared platform capabilities like common metrics and tuning surfaces. Your daily work involves partnering with engineering, product, and ML leaders to resolve trade-offs regarding freshness, quality, coverage, and cost efficiency. The role requires deep expertise in large-scale search, recommendation, or ads retrieval systems and distributed infrastructure. You will utilize AI tools to accelerate analysis, prototyping, and documentation while ensuring high standards for operational excellence. This position solves critical technical challenges in candidate generation for discovery experiences at scale across multiple product surfaces.

What does a Engineer earn in California?

Median $208000 from 94 postings across 22 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 developing 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 through system design, architecture reviews, and execution on complex infrastructure changes.
  • Build shared 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.
  • Utilize AI tools to accelerate analysis, prototyping, and the creation of design artifacts.

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.
  • Proven track record of leading large modernization efforts such as architectural convergence and migration from legacy systems at scale.
  • Strong technical leadership experience influencing direction and aligning stakeholders across multiple teams or organizations.
  • Exceptional systems thinking to connect platform design decisions to product quality, ML needs, and business outcomes.
  • Demonstrated ability to use AI tools to accelerate engineering workflows like prototyping, analysis, and documentation.
  • Ability to critically evaluate and validate AI-assisted work through testing and sound engineering judgment.
  • Strong communication skills to distill complex technical topics for both technical and non-technical audiences.

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