Member of Data Staff (Data Acceleration)

The role

You will build AI agents and internal systems to handle end-to-end analysis workflows. You will also build retrieval infrastructure, evaluation loops, and automated data lifecycle workflows.

What you will do

• Build AI agents that can explore data, form hypotheses, run queries, and generate recommendations.
• Build retrieval infrastructure and evaluation loops for AI systems to query the warehouse.
• Turn AI-assisted workflows into repeatable systems and reusable tools.
• Build self-healing pipelines, automated dbt model generation, and data quality agents.
• Build agents that interpret A/B test results and draft recommendations.
• Build internal data products to replace ad hoc requests with self-serve AI interfaces.
• Identify problems, prototype with LLMs, design UX, ship to production, and monitor quality.

Required qualifications

• 6+ years in data science, analytics engineering, data engineering, or a related role.
• Deep SQL and analytics judgment.
• Strong product sense.
• Hands-on LLM experience with frontier models, agents, RAG systems, or evals.
• Pipeline and modeling fluency with dbt, warehouse schemas, and data quality issues.
• Builder mentality.
• Autonomy.

Nice to have

• Experience building production AI agents or agent evaluation systems.
• Experience with Snowflake, semantic layers, or metadata systems.
• Experience building internal tools, Slack bots, CLIs, or developer productivity products.
• Strong experimentation background, including metric design and statistical interpretation.
• Experience with BI tools.
• Early-stage startup experience.

About the company

Perplexity is AI for people who expect more. The company builds AI and uses AI across its data team work.