Analytics Engineer

About Profound

Profound is an NYC-based AI startup helping brands measure and improve their visibility in AI platforms such as ChatGPT. We partner with some of the biggest brands and marketing agencies, including companies like MongoDB, Indeed, Mercury, DocuSign, Zapier, Ramp, Rho, Golin, Workable, Mejuri, Eight Sleep, G2, US Bank, Chime, and Clay.

We recently raised a $20 million Series A led by Kleiner Perkins with participation from NVIDIA, Khosla Ventures, Saga Ventures, South Park Commons, and SV Angel, as well as angel investors including Guillermo Rauch (Vercel) and Andrew Karam (Applovin).

Learn more at tryprofound.com.

Profound is on a mission to help companies understand and control their AI presence. As an Analytics Engineer, you’ll build and own the product analytics foundation at Profound. You’ll 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’re 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

What We Expect from You

• 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 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

• A sense of ownership and accountability for data quality and reliability

What You’ll Get Out of It

• Ownership of the entire product analytics function at an early stage company

• A key role in shaping how we measure usage and make product decisions

• Close collaboration with product, engineering, and go to market teams

• A fast paced environment with a lot of trust and autonomy

• Competitive compensation and meaningful equity

This is an on-site role in our Union Square office — designed for builders who thrive on speed, iteration, and impact.