Search Quality Analyst

Perplexity is looking for an experienced analyst to help us build and improve our core search technologies. You'll work at the intersection of data analysis and engineering — designing metrics, building data pipelines, and improving the quality of our search and answer systems.

This role is hybrid in Belgrade, London or Berlin.

Responsibilities

- Find and diagnose quality issues in our search pipeline

- Design metrics from scratch to track and measure search quality

- Build datasets for model training, including LLM-as-a-judge labeling pipelines

- Improve search snippet quality and page selection algorithms for indexing

- Design and analyze A/B experiments to validate improvements

Qualifications

- 4+ years of experience as a data analyst or in a related role

- Strong coding skills — expected to write production-grade code at a mid-level backend engineer level

- Proficiency with SQL and Python

- Demonstrated hands-on experience with at least one of the following:

- Designing metrics from scratch (not just analyzing existing A/B experiments)

- Building labeling pipelines using LLM-as-a-judge

- Training ML models that shipped to production with measurable metric improvements

- Designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals

Preferred Qualifications

- Experience working on search-related products

- Knowledge of statistics and A/B experiment design

- Experience with Apache Spark or Databricks