Fall Data Intern

About the role

We're looking for a technically-minded person eager to work on real data problems at a fast-growing startup. This is a paid, onsite role for a local college or MBA student who can commit ~20+ hours/week. You'll work directly on the data team — writing SQL, building pipelines, and using AI tools to power the insights our platform depends on. For the right person, this could develop into a full-time role.

What You'll Do

• Write SQL queries to analyze events, attendees, and organizations; surface insights that directly inform product and business decisions
• Build and maintain dashboards to monitor data quality and pipeline health
• Identify and resolve data errors in our database; investigate patterns and potential root causes
• Use and evaluate AI/LLM-enabled tools to generate, validate, and manage large datasets
• Conduct structured research to identify and validate key data inputs for machine learning models
• Collaborate with the data and engineering teams on data infrastructure and tooling improvements

What We're Looking For

• Based in New York City and able to work from our Midtown office
• Available ~20+ hours per week
• Proficiency in SQL — you're comfortable writing non-trivial queries against real datasets
• Familiarity with Python is a strong plus
• Experience with dashboarding tools (Looker, Metabase, Tableau, or similar) is a plus
• Detail-oriented with high ownership over your work
• Genuinely curious about data, AI, and how systems are built

Why Join Us

• Real technical impact: The data you clean, model, and ship directly powers what customers see and trust
• Cutting-edge problems: Work on applied ML, LLM pipelines, recommendation systems, and large-scale data quality challenges
• Ownership: You'll operate with genuine autonomy and set your own bar
• Growth: Learn how a high-quality data team operates at a Series B company scaling fast
• Team: A collaborative, ambitious group with backgrounds at top tech companies and consulting firms