GTM Data Scientist

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 $35 million Series B funding round led by Sequoia Capital, with continued backing from venture capital firms Kleiner Perkins, Khosla Ventures, Saga VC, and South Park Commons, 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. We’re creating a new category at the intersection of AI, search, and brand visibility — helping brands measure and influence how they show up across ChatGPT, Perplexity, Gemini, and beyond.

As our GTM Data Scientist, you’ll help Profound maximize the value of customer data to drive delightful product experiences and unlock leverage for our Engagement Management team. You'll design the systems, heuristics, and data frameworks that identify customer needs, guide strategic engagement, and surface opportunities for deeper product adoption.

A scalable GTM motion runs on data rails. This is the opportunity to not just build infrastructure but be a real architect of the machine that drives customer engagement. We’re looking for ambitious design thinkers who want to make a name for themselves.

• Map the customer journey to data-driven heuristics so we understand usage, adoption, and friction — enabling proactive engagement when customers are struggling.

• Identify opportunities to expand into new products, features, and workflows based on behavioral and account-level signals.

• Design frameworks for customer lifecycle triggers where we want to push automated engagement or nudges that drive activation and retention.

• Identify anti-patterns in data that indicate risk, churn, or moments where Engagement Managers need to intervene.

• Build pipelines, models, and data workflows that power GTM insights across Product, Customer Success, and Sales.

• Collaborate closely with Engagement Managers, Product, Data Engineering, and GTM leadership to operationalize insights and improve customer outcomes.

• Ensure data quality, consistency, and usability across GTM datasets, dashboards, and internal tooling.

• Strong experience with Python, SQL, and statistical analysis, with comfort working across large and complex datasets.

• 3–5 years of experience in data engineering,data science, analytics engineering, product analytics, GTM analytics, or a related role at a high-growth SaaS company.

• Ability to translate ambiguous product and customer questions into crisp, data-driven frameworks.

• Comfortable owning pipelines end-to-end — from data modeling to surfacing actionable insights.

• Curiosity and product intuition: you think deeply about why customers behave the way they do and how data can predict those patterns.

• Collaborative and proactive — you work closely with cross-functional teams and take ownership of outcomes.

• Bonus: experience with lifecycle modeling, behavioral heuristics, predictive scoring, or customer journey analytics.

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

For this role, the expected base salary range is $140,000 – $190,000. 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.