Analytics Engineer - SF

Key Skills

Data Analytics, Data Biuld Tool - dbt, Data Modeling, Data science techniques, Python Programming, SQL

Job Description

We Are Hiring: Analytics Engineer

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 operate on a hybrid schedule with in-office days on Monday, Wednesday, and 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

• 4+ years of professional experience as an Analytics Engineer, Data Engineer, Data Scientist, or a closely related role.
• Expertise in SQL.
• 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, 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.

Compensation & Benefits

Salary: $200,000 - $250,000 (final offer depends on experience and expertise).

Equity: Equity is included as part of the total compensation package.

Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

About Perplexity

Since launching the world’s first fully functional conversational answer engine in 2022, Perplexity has experienced tremendous growth. In 2024 alone, our daily queries increased from 2.5 million to around 20 million by December. We also offer Perplexity Enterprise Pro, serving leading companies such as Nvidia, the Cleveland Cavaliers, Bridgewater, and Zoom.

To support our rapid expansion, we’ve raised substantial funding from top-tier investors, including IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, and other industry leaders. Our team grew nearly 300% in 2024, and we’re just getting started.

Join us as we redefine search and knowledge discovery.