Member of Data Staff (AI Builder)

Join Perplexity, an AI company at the forefront of innovation. As a member of the Data Staff, you'll build AI agents and internal systems that handle end-to-end analysis workflows. You'll create workflows that detect and diagnose data issues, build infrastructure to multiply the output of the data team, and turn the data team into a product team. This is a unique opportunity to have a direct impact on the company's success and set the standard for the industry.

• Construire des agents d'IA et des systèmes internes capables de gérer des flux de travail d'analyse de bout en bout.
• Développer l'infrastructure de récupération et les boucles d'évaluation permettant aux systèmes d'IA d'interroger de manière fiable l'entrepôt de données.
• Créer des flux de travail qui détectent, diagnostiquent et aident à résoudre les problèmes de données avant qu'ils ne deviennent des problèmes à l'échelle de l'entreprise.
• We're looking for someone who's been a great data scientist, analytics engineer, or data engineer: the kind of person who knows which metric actually matters, can design an A/B test that answers the real question, has gone deep on a data model because something didn't add up, and has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done
• Pipeline and modeling fluency - you've worked with dbt, warehouse schemas, data quality issues, and the practical tradeoffs behind durable data systems
• Hands-on LLM experience - you've built with frontier models, agents, RAG systems, evals, or AI-powered workflows and have opinions about where they work and where they fail
• 6+ years in data science, analytics engineering, data engineering, or a related role. You've been close enough to real data work to know what should and should not be automated
• Strong product sense - you understand what stakeholders actually need, what makes a workflow adoptable, and how to turn a prototype into a product people use
• Deep SQL and analytics judgment - you can reason through metrics, experiments, data models, and messy warehouse reality without relying on a tool to think for you
• Production-oriented Python ability - you can build and ship working tools, wrangle APIs, evaluate model outputs, deploy services, and write code others can maintain
• Builder mentality - you see a manual process and immediately think about how to systematize it. You ship fast, measure quality, and iterate
• Autonomy - this is a new function. You'll help define the roadmap as much as execute it
• Experience building production AI agents or agent evaluation systems
• Experience with Snowflake, semantic layers, or metadata systems
• Experience building internal tools, Slack bots, CLIs, or developer productivity products that people actually used
• Strong experimentation background, including metric design and statistical interpretation
• Experience with BI tools and the judgment to know what should be automated versus kept human-reviewed
• Early-stage startup experience