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

Nice to have

Experience working on search-related products

Knowledge of statistics and A/B experiment design

Experience with Apache Spark or Databricks