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Salary
$140k – $230k per year
Location
In office (New York, San Francisco)
Seniority
Staff · 3+ years exp
Visa
Sponsorship offered in the posting
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jul 24, 2025. Profound scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Profound is an American software company whose platform shows brands how they appear in answers from AI assistants and answer engines such as ChatGPT, Perplexity and Google AI Overviews. It tracks brand mentions, citations and share of voice across AI search, and helps marketing teams optimise content for generative engines, supported by forward deployed marketing engineers. The company has teams in New York, San Francisco, London and Buenos Aires and is headquartered in New York, New York, United States.

Profound is the fastest-growing AI marketing platform, used by 15% of the Fortune 500 including Comcast, Estée Lauder, and Walmart, and innovators like Ramp, MongoDB, and Figma. It is where marketing teams do the work: research, briefs, content, campaigns, reporting, all in one place, alongside agents that carry the load with them.

Built on 2B+ real user prompts and growing, Profound’s data shows you what people ask AI and what the models say back. Profound's AI Marketer joins that data with deep context about our customers to find the opportunities worth acting on, and then puts agents to work: automating reporting, drafting content, auditing pages for readability, running competitive research. It measures what works and gets better every day.

As a Data Scientist, you will map every human and AI interaction to help brands turn AIs into their strongest advocates. You will build predictive models, develop sampling techniques, and optimize brand visibility in AI-driven search, such as ChatGPT and Perplexity. Your work will directly impact how businesses shape their presence in the generative AI era.

What you’ll do

  • Develop and refine predictive models to analyze and forecast AI-driven search behavior

  • Design sampling and data classification techniques to improve AI-driven brand insights

  • Leverage LLMs and NLP to extract meaningful insights from unstructured text data

  • Work with large datasets, ensuring efficiency in querying, cleaning, and classification

  • Design and conduct A/B tests or other experimentation frameworks to measure impact

  • Collaborate with the founding team to turn complex data insights into actionable business strategies

Who you are

  • 3 or more years of advanced analytics experience in technology, marketing, or advertising

  • Proficient in Python, R, and SQL, with hands-on experience querying and analyzing large datasets

  • Expertise in data sampling techniques, including stratified sampling, bootstrapping, and extrapolation

  • Strong background in predictive modeling and applying machine learning techniques to estimate event frequency

  • Deep understanding of large language models, their limitations, and real-world applications

  • Passionate about staying on top of AI research, especially in multi-modal AI and LLM advancements

  • Comfortable in a fast-moving, high-performance startup environment

Location

This is an on-site role based in our NYC or SF 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 $140,000 to $260,000 (NYC and SF). Comp may vary by location. 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.

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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