P

Pinterest

Runs an app for finding and saving visual ideas

Principal Engineer - Indexing & Retrieval Infrastructure

Backend EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Deep expertise building and evolving large-scale indexing, search, recommendation, or ads retrieval systems, including real-time and incremental architectures, relevance tradeoffs, and cost-efficient distributed infrastructure.
  • Strong technical leadership experience operating across multiple teams or organizations, with a track record of influencing direction, aligning stakeholders, and driving complex platform decisions to completion.
  • Proven ability to lead large modernization efforts such as architectural convergence, migration from legacy systems, rollout of shared platforms, or introduction of new infrastructure capabilities at scale.
  • Exceptional systems thinking and problem-solving skills, with the ability to connect platform design decisions to downstream product quality, machine learning needs, operational health, and business outcomes.
  • Strong communication skills, including the ability to distill complex technical topics for senior technical and non-technical audiences, and to drive clarity in ambiguous, high-impact spaces.
  • Demonstrated experience using artificial intelligence to improve speed and quality in day-to-day engineering workflows, such as technical analysis, prototyping, design exploration, documentation, or synthesis of complex information.
  • Strong track record of critically evaluating and validating artificial-intelligence-assisted work through testing, source-checking, peer review, and sound engineering judgment, with clear accountability for final decisions and deliverables.
  • High integrity, ownership, and care in handling sensitive data and production-critical systems, including thoughtful use of artificial intelligence without over-reliance and with strong attention to privacy, safety, and correctness.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, a related technical field, or equivalent experience.

Responsibilities

  • Define and drive the long-term technical vision for indexing and retrieval infrastructure across Core, Ads, and Shopping, aligning architecture investments to measurable improvements in freshness, quality, coverage, reliability, and cost efficiency.
  • Lead cross-organization initiatives to modernize Pinterest’s indexing architecture, including advancing unified real-time and incremental retrieval systems that support high-scale, high-quality candidate generation.
  • Partner closely with engineering, product, machine learning, and infrastructure leaders to align priorities, resolve tradeoffs, and deliver shared platform capabilities that improve retrieval performance across multiple discovery surfaces.
  • Raise the technical bar for retrieval infrastructure by guiding system design, architecture reviews, and execution on complex platform changes that span document ingestion, indexing, retrieval, and quality evaluation.
  • Build shared platform capabilities such as common metrics, tuning surfaces, and debugging workflows that help teams understand and improve the tradeoffs between relevance, safety, engagement, revenue, and infrastructure cost.
  • Mentor senior engineers and technical leaders across teams, fostering strong engineering judgment, inclusive collaboration, and high standards for operational excellence.
  • Use artificial intelligence to accelerate analysis, prototyping, and iteration on system design options, while applying engineering judgment and verification to ensure correctness, reliability, and quality.
  • Use artificial intelligence to streamline repeatable work such as summarizing technical investigations, drafting design artifacts, and synthesizing platform insights so teams can move faster on high-impact decisions.

About the Company

Pinterest

Runs an app for finding and saving visual ideas

Pinterest runs a visual search and discovery app where people look for ideas in areas like cooking, home decor, fashion, and travel, then save the images they like to themed collections called boards. In 2012 it became the fastest standalone website to reach 10 million monthly US visitors, according to measurement firm comScore. Each saved image, called a Pin, links back to its source, such as a recipe or a product page, and people search with words or with a photo to find similar ideas and things to buy. Brands pay to show ads among Pins in feeds and search results, and Pinterest also sells ads on streaming TV. It launched in 2010 and is based in San Francisco, California.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2010

Recently Posted Jobs

Explore more opportunities at Pinterest

See more jobs