GTM Ops Intern

Job description

ABOUT SIMPLE Simple AI http://usesimple.ai is building state of the art voice AI agents for enterprise. Our realistic agents help iconic businesses like Doordash, xAI, and Omaha Steaks handle all kinds of phone operations, from customer support to order intake to lead qualifications. Simple AI raised $14M from world-class investors and operators like Y Combinator, First Harmonic, Massive Tech Ventures, Michael Seibel, Jared Friedman, Alexandr Wang, Matt Van Horn, Suhail Doshi, and Scott Wu. THE TEAM The founders (Catheryn https://www.linkedin.com/in/catherynli/ and Zach https://www.linkedin.com/in/zach-kamran/) met while running software teams at YC, where they shipped tons of new products for YC founders, including YC’s co-founder matching site. Cat previously worked at Instagram and Facebook and earned degrees in math and computer science at MIT. Zach previously studied computer science and statistics at U Chicago and led software at PEAK6. We have grown into a strong team of 20+ and are continuing to scale quickly. ABOUT THE ROLE Simple is looking for a current MBA student to complete a short GTM research project supporting ICP and market analysis. You’ll build a structured company dataset that the team can use for segmentation and downstream GTM work. WHAT YOU'LL DO - Turn Simple’s ideal customer profile into clear company-search criteria. - Build, clean, and deduplicate a dataset of approximately 100,000 target companies using approved data sources. - Include core fields such as company name, website, location, industry, size, revenue or funding signals, and source. - Share an initial sample for review, then deliver the final spreadsheet with brief methodology and segmentation notes. WHAT YOU'LL NEED - Current MBA student with strong research and analytical skills. - Comfortable working with large spreadsheets and company databases. - Strong attention to detail and ability to work independently. - Access to PitchBook, Capital IQ, or an equivalent program subscription DETAILS - Remote and asynchronous, 5–10 hours per week for 2–3 weeks.