Senior AI Data Systems Engineer

Perplexity; San Francisco (CA); On-site; USD 175,000 - 330,000; Full time

Job summary

Perplexity is AI for people who expect more. This role centers data work on AI, building agents and systems to conduct end-to-end analysis. You’ll design hypotheses, run queries, interpret results, and draft evidence-based recommendations with proper guardrails.

The team will create scalable AI-native workflows and internal tools used across the data organization. You’ll lead the development of AI agents that safely explore data, query warehouses, and generate actionable insights.

Qualifications

• 6+ years in data science, analytics engineering, data engineering, or a related role.
• Deep SQL and analytics judgment for metrics, experiments, and data models.
• Hands-on experience with frontier models, agents, RAG systems, or AI workflows.
• Experience with dbt, data quality, and durable data systems.

Responsibilities

• Build AI agents that do data science: explore data, form hypotheses, run queries, interpret results, and produce recommendations.
• Develop reliable AI systems to query the warehouse using semantic context and metadata.
• Turn best AI-assisted workflows into repeatable, reusable data products across the team.
• Automate data lifecycles: self-healing pipelines, dbt model generation and validation.
• Ship AI-powered experiment analysis: interpret A/B results and draft recommendations.
• Transform the data team into a product group with self-serve AI interfaces.
• Own end-to-end lifecycle: identify problems, prototype with LLMs, productionize, monitor quality.

Skills

Data science

Analytics engineering

Data engineering

SQL

LLM workflows

A/B testing

Product sense

Autonomy

Tools

dbt

Snowflake

BI tools

Job description

Perplexity is AI for people who expect more. This role centers data work on AI, building agents and systems to conduct end-to-end analysis. You’ll design hypotheses, run queries, interpret results, and draft evidence-based recommendations with proper guardrails.

The team will create scalable AI-native workflows and internal tools used across the data organization. You’ll lead the development of AI agents that safely explore data, query warehouses, and generate actionable insights.