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