Vendelux
From Vendelux's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
________________ We're looking for a technically-minded person eager to work on real data problems at a fast-growing startup.
Vendelux https://vendelux.com/ 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. From identifying the highest ROI conferences to enabling targeted meeting programs, Vendelux helps companies turn events into a predictable and scalable growth engine.
In addition, Vendelux Meetings extends our platform by turning insights into pipeline — using AI to identify high-value attendees and proactively book 1:1 meetings between our customers and their ideal prospects at events. This enables go-to-market teams to drive measurable ROI and maximize every event interaction.
Founded in 2021, Vendelux is a Series B SaaS company backed by top-tier investors including Tribeca Ventures, FirstMark and Hubspot Ventures. We partner with many of the fastest-growing companies in the world, and our team includes leaders from Bain, ZoomInfo, Shutterstock, FanDuel, Compass, Airbnb, Jet.com. and beyond.
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We're looking for a technically-minded person eager to work on real data problems at a fast-growing startup. This is a paid role for a local college or MBA student who can commit ~20+ hours/week. It's hybrid, 3–4 days a week in our NYC office depending on your location. 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.
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
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
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
Not all candidates will check all of the requirements listed above and that’s ok! We are open to great people from non-traditional backgrounds.
Vendelux is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.
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