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PerplexityPerplexitySan Francisco, CA

Analytics Engineer

Build AI agents and infrastructure that autonomously conduct data analyses, make warehouses AI-readable, and create self-healing pipelines to 10x data team productivity at an AI company. Requires 6-8+ years in data science/analytics engineering, deep SQL and Python skills, product sense, and hands-on LLM/AI experience.

175k – 330k/yr
On-site6+ YOEData Science

About the role

What You'll Do

  • Accelerate the AI-native data workflow by turning existing practices into repeatable systems, scalable tools, and patterns for the data team and company.
  • Build AI agents that conduct end-to-end data science analyses: explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations.
  • Make the data warehouse AI-readable by building semantic layers, context, and retrieval infrastructure for accurate querying by any AI system.
  • Automate the data lifecycle with self-healing pipelines, automated dbt model generation and validation, and data quality agents.
  • Ship AI-powered experiment analysis tools that interpret A/B test results, flag statistical issues, and draft recommendations.
  • Own the full lifecycle from problem identification to prototyping with LLMs, iteration, production deployment, and monitoring.
  • Turn the data team into a product team by building internal data products and self-serve AI interfaces.

What We're Looking For

  • 6-8+ years in data science, analytics engineering, or related role.
  • Strong product sense with experience working with product and business teams.
  • Deep SQL expertise, including building data models and working with warehouses.
  • Pipeline experience with dbt and handling data quality issues.
  • Software engineering skills in Python to build and ship tools, wrangle APIs, and deploy services.
  • Genuine excitement about AI, with hands-on experience building with LLMs, agents, RAG systems, or AI workflows.
  • Builder mentality focused on automating manual processes and shipping fast.
  • Autonomy to define roadmap in a new function.

Nice-to-Haves

  • Experience with dbt for production models.
  • Snowflake administration and optimization.
  • Built Slack bots, internal CLI tools, or developer productivity tools.
  • Background in AI agent frameworks.
  • Experience with BI tools.
  • A/B testing and experimentation design and analysis.
  • Early-stage startup experience.

Skills

SQLPythondbtSnowflakeLLMsRAGAI AgentsA/B TestingData PipelinesData Modeling

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