# Member of Data Staff (Data Acceleration) at Perplexity

- Company: Perplexity
- What the company does: Backed by Accel, Bessemer and NEA.
- Company website: http://www.perplexity.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: On-site
- Pay: $175K to $330K base salary per year (USD)
- Posted: 2026-10-22
- Apply by: 2026-12-06
- Apply: https://jobs.ashbyhq.com/Perplexity/d89a3cad-50d5-47fd-8f87-be55285ee2b1?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/perplexity-member-of-data-staff-data-acceleration/

## About the role

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. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 6+ years in data science, analytics engineering, data engineering, or a related role. You've been close enough to real data work to know what should and should not be automated
- 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
- Strong product sense - you understand what stakeholders actually need, what makes a workflow adoptable, and how to turn a prototype into a product people use
- 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
- Pipeline and modeling fluency - you've worked with dbt, warehouse schemas, data quality issues, and the practical tradeoffs behind durable data systems
- Builder mentality - you see a manual process and immediately think about how to systematize it. You ship fast, measure quality, and iterate

Tags: Data Science

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/perplexity-member-of-data-staff-data-acceleration/
