Analytics Engineer

Details

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from investors including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, and Samsung. Our objective is to build accurate, trustworthy AI that powers decision-making and assistive AI wherever decisions are being made. Perplexity users make over 780 million queries every month.

Role overview

As the first Analytics Engineer at Perplexity, you will define and build analytics infrastructure to ensure data is reliable, accessible, and drives critical business decisions across the company. You will shape how Perplexity uses data and contribute directly to the mission of becoming the world’s most knowledge-centric company.

Responsibilities

• Design and build core data models to improve analysis efficiency and enable rapid, reliable insights for teams
• Define and champion data modeling standards and best practices using tools like dbt
• Boost data team productivity by improving tooling, automating workflows, and streamlining processes
• Own decisions on tooling selection, balancing build vs. buy, and manage vendor relationships when necessary
• Partner closely with Data Scientists to ensure analytics requirements are clearly understood and implemented
• Develop and maintain critical dashboards and reporting to track business health and enable better decision-making
• Lead data governance efforts, ensuring security, compliance, and quality standards are consistently met

Requirements

• 6–8+ years of professional experience as an analytics engineer, data engineer, data scientist, or closely related role
• SQL expert
• Experience in data modeling, including dimensional modeling and analytics engineering best practices
• Experience creating high-impact dashboards and visualizations using BI tools (e.g., Omni, Mode, Hex, Looker, or similar)
• Prior experience in fast-paced, rapidly scaling environments
• Comfortable working autonomously and taking projects from concept through execution with minimal oversight

Bonus

• Experience with dbt
• Comfortable with Python
• Experience with Snowflake administration and optimization
• Familiarity or experience with Databricks
• Previous experience as an early or first analytics engineer in a high-growth startup

Location & schedule

• Headquartered in San Francisco
• Hybrid schedule with in-office days on Monday, Wednesday, Friday

Compensation & benefits

• Cash compensation range: $200,000 - $300,000 (final offers determined by multiple factors including experience and expertise)
• Equity may be part of the total compensation package
• Comprehensive health, dental, and vision insurance for you and your dependents
• 401(k) plan