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Member of Data Staff

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Member of Data Staff in USA new

  • Perplexity
  • Full time
  • Email
  • San Francisco, CA

Responsibilities

  • Build AI agents that perform end-to-end data science workflows, including hypothesis formation, query execution, result interpretation, and recommendation drafting.
  • Build retrieval infrastructure and evaluation loops so AI systems can reliably query warehouse data, semantic context, and metadata.
  • Turn AI-assisted data workflows into reusable systems, tools, and patterns for the data team.
  • Automate the data lifecycle through self-healing pipelines, dbt model generation and validation, data-quality agents, and diagnosis workflows.
  • Build AI-powered experiment-analysis systems that interpret A/B tests, identify statistical issues and drivers, and draft ship/no-ship recommendations.
  • Create internal data products and self-serve AI interfaces that replace ad hoc stakeholder requests.
  • Own the full lifecycle from problem identification and LLM prototyping through evaluation, UX design, production launch, and quality monitoring.

Requirements

  • 6+ years of experience in data science, analytics engineering, data engineering, or a related role.
  • Deep SQL skills and strong judgment around metrics, experiments, data models, and warehouse data.
  • Strong product sense and the ability to turn prototypes and stakeholder needs into adoptable products.
  • Hands-on experience building with frontier models, agents, RAG systems, evaluations, or AI-powered workflows.
  • Experience with dbt, warehouse schemas, data-quality issues, and durable data-system tradeoffs.
  • Ability to systematize manual processes, ship quickly, measure quality, and iterate autonomously.
  • Preferred: experience with production AI agents or agent-evaluation systems.
  • Preferred: experience with Snowflake, semantic layers, or metadata systems.
  • Preferred: experience building internal tools, Slack bots, CLIs, or developer productivity products.
  • Preferred: strong experimentation, metric-design, and statistical-interpretation experience.
  • Preferred: experience with BI tools and early-stage startups.

Benefits

  • High autonomy in defining and executing a new function.
  • Opportunity to build frontier-model and AI-native data systems at Perplexity.
  • Small-team environment with direct impact and minimal approval layers.
  • Systems are intended to multiply the output of the data team and stakeholders.

Salary: $175k - $330k/yr

Perplexity

The most powerful answer engine. Powering curiosity with answers backed by up-to-date sources. This is where knowledge begins.

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