This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Perplexity is AI for people who expect more. This role brings that same standard to how our data team works - with AI at the center of everything we do. 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, who can design an A/B test that answers the real question, who's gone deep on a data model because something didn't add up - and who has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done. Not another text-to-SQL bot. Not another dashboard. You'll build AI agents that conduct full analyses autonomously - forming hypotheses, writing and running queries, interpreting results, and drafting recommendations. You'll make the entire data warehouse AI-readable so any system can query it accurately. You'll create self-healing pipelines that detect and fix data issues before anyone notices. You'll build the infrastructure that turns a small data team into one that operates at 10x its size. You'll join a data team that's already using AI across its workflows - but we know there's a much bigger opportunity ahead. We have buy-in from leadership to make it happen. Now we're building a team dedicated to taking what we've started and turning it into something world-class: scalable systems, new tools, and an AI-native way of working that doesn't just make us world-class - but pushes the entire industry forward.
Job Responsibility
Accelerate the AI-native data workflow
Build AI agents that do data science
Make the warehouse AI-readable
Automate the data lifecycle
Ship AI-powered experiment analysis
Own the full lifecycle
Turn the data team into a product team
Requirements
6-8+ years in data science, analytics engineering, or a related role
Strong product sense
Deep SQL expertise
Pipeline experience
Enough software engineering chops to be dangerous
Genuinely excited about AI
Builder mentality
Autonomy
Nice to have
Experience with dbt (building and maintaining production models)
Snowflake administration and optimization
You've built Slack bots, internal CLI tools, or developer productivity tools that people actually used