Principal Engineer, Indexing & Retrieval Infrastructure

Pinterest

Confirmed live yesterday High trust
Remote

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k
This role $367k
$99k $487k
below market most similar roles pay here above market

This role pays more than 98% of similar roles. Most pay $174,600–$241,750 — the blue band above. At the midpoint, this role pays about $367k versus about $208k 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 77 open roles on FindRole.

Listed pay typically runs $177,185–$339,078 across 71 roles with salary data.

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View all roles at Pinterest

At a glance

TL;DR · Principal Engineer, Indexing & Retrieval Infrastructure

The Principal Engineer, Indexing & Retrieval Infrastructure leads the technical strategy and execution for indexing and retrieval infrastructure across Core, Ads, and Shopping within the delivery infrastructure organization. This role involves defining the long-term technical vision to improve freshness, quality, coverage, reliability, and cost efficiency for discovery experiences. Key responsibilities include leading cross-org initiatives to modernize indexing architecture, advancing unified real-time and incremental retrieval systems, and building shared platform capabilities like common metrics and debugging workflows. The candidate must possess deep expertise in large-scale indexing, search, recommendation, or ads retrieval systems, distributed infrastructure, and systems thinking. The role requires using AI to accelerate analysis, prototyping, and design artifacts while ensuring correctness. This position solves the technical challenge of generating fresh, relevant, and cost-efficient candidates for high-scale discovery surfaces.

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 including 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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