Analytics Engineer

Profound is the marketing platform for the age of AI search. The way brands reach people is being rewritten — AI models like ChatGPT, Perplexity, and Google AI Mode are now the answer layer between companies and their customers. We built the platform marketers use to understand, measure, and win in that world: the analytics, intelligence, and agent automation that turn AI search from a threat into a competitive advantage.

We went from 0 to a $1B valuation in 18 months. Revenue grew 100x last year. Our customers include Ramp, Figma, Spotify, Nike, Apple, AWS, Reddit, and JPMC. We are backed by Sequoia, Kleiner Perkins, LSVP, and Khosla Ventures — and we are moving fast enough that the people joining now are building the playbook everyone who comes after them will run.

Profound is on a mission to help companies understand and control their AI presence. As an Analytics Engineer, you will build and own the product analytics foundation at Profound. You will define success metrics, map the user journey, and uncover insights that shape how we build and improve the product. Your work will help the entire company understand what drives engagement, where users drop off, and how we can make the platform more valuable to our customers.

WHAT YOU’LL DO

- Build and maintain dashboards to track product usage, funnels, retention, activation, user journey paths, and feature adoption

- Define and maintain core product metrics and ensure they are modeled cleanly and reliably

- Analyze user journeys to identify friction, improve activation, and drive growth

- Respond to one-off customer analysis requests by delivering custom solutions and insights

- Conduct customer-level and segment analyses to support sales, marketing, and customer success

- Partner with engineers to instrument events, maintain data ingestion pipelines, and uphold high data quality

WHO YOU ARE

- Fluency in SQL and experience with Python

- Experience working on product analytics including f...