Member of Data Staff (Data Acceleration)
Perplexity20 hours ago
Base Salary
$175k - $330k/yr
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.
Tech Stack
Categories
AI ApplicationsData Engineering
About Perplexity
Perplexity builds an AI-powered answer engine for web and mobile and an enterprise product, Perplexity Computer, for AI-driven workflows across tools and apps. The company monetizes through individual subscriptions (Perplexity Pro) and enterprise plans. Founded in 2022 and headquartered in San Francisco, it operates as a privately held company.