Analytics Engineer

About this role

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 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

LOCATION

This is an on-site role based in our Union Square, NYC office, designed for builders who thrive on speed, iteration, and meaningful impact. We are happy to support visa sponsorship for qualified international candidates.

For this role, the expected base salary range is $180,000 to $260,000. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.

#LI-PRO

Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.

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