Search Quality Analyst (London, Belgrade, Berlin) at Perplexity AI

Belgrade, Serbia

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

4+ years of experience working as a data analyst or in a related role
Experience working on search-related products, with emphasis on designing online metrics and analyzing A/B experiments
Strong Python skills (expected to write production-grade code)
Proficiency with SQL
Experience with Business Intelligence (BI) tools
Deep knowledge of statistics
Preferred Qualifications
Proficiency with Apache Spark
Experience with Databricks
Experience with development of LLM-as-a-judge systems

Responsibilities

Develop data-driven insights from user behavior to inform our product roadmap and accelerate adoption
Formulate hypotheses and validate them by designing, running, and analyzing A/B tests
Determine appropriate metrics and visualizations for tracking, and implement them in dashboards
Design new pipelines that will help to deliver better ranking quality, from discovering new signals, producing metrics, and constructing data labeling pipelines with human and LLM feedback

Skills

Key technologies and capabilities for this role

PythonSQLA/B testingstatisticsApache SparkDatabricksBusiness Intelligence toolsdata pipelinesdashboards

Questions & Answers

Common questions about this position

What is the compensation structure for this role?

Final offer amounts are determined by multiple factors, including experience and expertise. In addition to the base salary, equity may be part of the total compensation package.

What are the locations for this position?

The role is based in London, Belgrade, or Berlin. Remote work policy is not specified.

What skills are required for this Search Quality Analyst role?

Required skills include 4+ years as a data analyst, experience with search products and A/B experiments, strong Python for production code, SQL proficiency, BI tools, and deep statistics knowledge.

What benefits are offered?

Comprehensive health, dental, and vision insurance for you and your dependents.

What makes a strong candidate for this position?

Candidates with 4+ years in data analysis, search product experience especially A/B testing, strong Python and SQL skills, BI tools proficiency, and statistics knowledge stand out. Preferred experience includes Apache Spark, Databricks, and LLM-as-a-judge systems.

Perplexity AI

Advanced answer engine providing reliable information

About Perplexity AI

Perplexity AI provides an advanced answer engine that delivers accurate and reliable responses to user queries. The platform uses current sources to ensure the information is both precise and relevant. It caters to a wide audience, including individuals looking for quick answers and businesses needing detailed information. Unlike many competitors, Perplexity AI emphasizes high-quality, source-backed answers, making it a valuable resource for users seeking trustworthy data. The company's goal is to meet the increasing demand for immediate access to reliable information, generating revenue through subscription fees, advertising, and partnerships.

San Francisco, CaliforniaHeadquarters

2022Year Founded

$890MTotal Funding

LATE_VCCompany Stage

Data & Analytics, Consumer SoftwareIndustries

201-500Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Company Equity

Risks

Pending copyright infringement class action poses legal and financial challenges.

Competition from Google's AI Mode could impact user retention and market share.

Otterly.AI's brand visibility tool may pressure Perplexity to maintain high performance.

Differentiation

Perplexity AI integrates large language models with search engines for precise responses.

The platform offers an open-source environment, enhancing public access to AI tools.

Perplexity's strategic acquisition of Carbon boosts its data connectivity capabilities.

Upsides

Partnership with Tripadvisor enhances travel planning with personalized recommendations.

$500M funding round increases valuation to $9 billion, supporting growth and innovation.

Integration with FactSet attracts financial clients with enhanced data accessibility.

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