The board
- Pay
- $18 – $20 per hour
- Where
- New York, NY
- Posted
- Aug 14
Vendelux is building the category-defining platform for event marketing intelligence.
Events are one of the largest and most impactful marketing channels, yet historically one of the least measurable. Vendelux brings transparency and performance to this space — helping companies discover, evaluate, and optimize their event strategy with data.
Our platform powers thousands of event decisions by delivering proprietary, AI-driven insights across hundreds of thousands of events globally. At the core of our platform is a robust ecosystem of event organizer partnerships — where organizers share first-party data, enabling richer insights for customers while receiving benchmarking and audience intelligence in return.
What you'd 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 they want
- 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
What you get
- 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