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Member of Technical Staff (Analytics Engineer)

United States, San Francisco Employment contract 175000.00 - 330000.00 USD / Year · Job Posted June 07, 2026
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Job Description

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
  • Background in AI agent frameworks
  • Experience with BI tools
  • A/B testing and experimentation
  • Early-stage startup experience

What we offer

  • Equity
  • Health
  • Dental
  • Vision
  • Retirement
  • Fitness
  • Commuter and dependent care accounts
  • More

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