Perplexity AI
Member of Data Staff (AI Builder)
San Francisco · Staff+
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About the role
- You'll join a data team that's already using AI across its work.
- The next step is turning those individual workflows into scalable systems, shared tools, and an AI-native operating model that becomes a benchmark for how modern data teams work.
Responsibilities
- Build AI agents that do data science - not just SQL copilots, but systems that can safely explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations with clear evaluation and human review loops.
- Make AI systems query the warehouse reliably - build the retrieval infrastructure and evaluation loops that let agents use our semantic context and metadata accurately.
- Automate the data lifecycle - build self-healing pipelines, automated dbt model generation and validation, data quality agents, and diagnosis workflows that reduce manual firefighting.
- Ship AI-powered experiment analysis - build agents that interpret A/B test results, flag statistical issues, identify likely drivers, and draft ship/no-ship recommendations.
- Turn the data team into a product team - build internal data products that stakeholders use every day, replacing ad hoc requests with self-serve AI interfaces.
- Own the full lifecycle - identify high-leverage problems, prototype with LLMs, evaluate accuracy, design the UX, ship to production, and monitor quality over time.
- Build AI with AI
- Perplexity builds AI for people who expect more. You'll bring that same level of ambition to how the company works with data.
- Massive leverage - the systems you build will multiply the output of every data team member and every stakeholder who needs data.
Requirements
- 6+ years in data science, analytics engineering, data engineering, or a related role.
- Deep SQL and analytics judgment - you can reason through metrics, experiments, data models, and messy warehouse reality without relying on a tool to think for you.
- Hands-on LLM experience - you've built with frontier models, agents, RAG systems, evals, or AI-powered workflows and have opinions about where they work and where they fail.
- Experience with Snowflake, semantic layers, or metadata systems.
- Experience with BI tools and the judgment to know what should be automated versus kept human-reviewed.
Skills
- Perplexity is AI for people who expect more.
Company info
- This role brings that same standard to how our data team works, with AI at the center of everything we do.
- WHAT WE'RE LOOKING FOR - 6+ years in data science, analytics engineering, data engineering, or a related role.
This listing is sourced directly from Perplexity AI's careers page and normalized into a canonical job model.