Analytics Engineer

Profound•New York, NY

1d•$140,000 - $260,000•Onsite

About The Position

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.

Requirements

Fluency in SQL and experience with Python
Experience working on product analytics including funnels, retention, user journeys, and activation
Strong data modeling skills and a clean approach to defining metrics
Experience at a B2B SaaS or product-focused company
3 or more years of experience in analytics, data, or product roles focused on user behavior and product usage
Strong product sense and ability to turn data into clear insights for product and go-to-market teams
Strong sense of ownership and accountability for data quality and reliability
Motivated by ownership of the entire product analytics function at an early stage company
Interested in shaping how usage is measured and how product decisions are made
Excited by close collaboration with product, engineering, and go-to-market teams
Comfortable operating in a fast-paced environment with trust and autonomy
Drawn to competitive compensation and meaningful equity

Responsibilities

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