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 some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious.
As our first Analytics Engineer, you’ll be instrumental in defining and building our analytics infrastructure, ensuring data is reliable, accessible, and drives critical business decisions across the company. You’ll play a key role in shaping how we use data at Perplexity, contributing directly to our mission of becoming the world’s most knowledge-centric company.
Perplexity is building the next-generation answer engine, empowering our users to find information more effectively. We are headquartered in San Francisco, and on a hybrid schedule with in-office days on Monday, Wednesday, Friday.
Responsibilities
- Design and build core data models to improve analysis efficiency, enabling 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 managing vendor relationships when necessary
- Partner closely with Data Scientists to ensure analytics requirements are clearly understood and effectively 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
Qualifications
- Have 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)
- Have prior experience in fast-paced, rapidly scaling environments
- Comfortable working autonomously, 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
The cash compensation range for this role is $200,000 - $300,000.
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What We Do
The most powerful answer engine. Powering curiosity with answers backed by up-to-date sources. This is where knowledge begins.
