Onsite
Vendelux is transforming how companies discover, evaluate, and maximize the impact of events.
Event marketers are the driving force behind pipeline and brand — yet events remain one of the least optimized and most opaque marketing channels. Vendelux changes that. We provide the system of record for event marketing, giving teams the data and insights they need to make smarter, more strategic decisions.
Our AI-powered platform delivers proprietary insights across 250,000+ events, helping high-growth companies identify where their ideal customers will be, maximize ROI, and turn events into a scalable growth channel. Customers often describe Vendelux as an event marketer’s dream. A key part of this is our growing network of event organizer partnerships — where organizers share first-party attendee and sponsorship data, and in return gain access to valuable market insights.
In addition, Vendelux Meetings helps customers turn event insights into action — using AI to identify high-value attendees and automatically book 1:1 meetings with the right prospects at conferences. This allows teams to maximize pipeline generation and make every event materially more impactful.
Founded in 2021, Vendelux is a Series A SaaS company backed by leading investors including FirstMark, with a recent $14M round. Our team brings experience from companies like Bain, ZoomInfo, Airbnb, FanDuel, Shutterstock, Compass and more.
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We’re looking for a Data Operations Specialist to help power the accuracy, quality, and scalability of the data that drives our platform.
This role sits at the intersection of data, operations, and product, and is critical to ensuring our datasets — from event information to attendee and company-level insights — are clean, reliable, and actionable. You’ll work closely with cross-functional teams including Product, Engineering, Partnerships, and Customer Success, helping to maintain and improve the data foundation that underpins Vendelux.
This position will be a full-time role based in our NYC headquarters, with an expectation of working in the office four days per week.
Own day-to-day data operations workflows, including data ingestion, validation, and quality assurance
Review and clean large datasets related to events, attendees, and companies
Identify data inconsistencies and implement processes to improve accuracy and completeness
Partner with Engineering and Product to improve data pipelines and tooling
Support onboarding of new event organizer data partnerships, ensuring data is properly structured and integrated
Build and maintain internal documentation and data standards
Help create scalable processes as we grow our data ecosystem
Assist with ad hoc data requests from internal teams (Sales, Marketing, Customer Success)
3 – 6+ years of experience in data operations, business operations, analytics, or a related field
Strong attention to detail and a high bar for data accuracy
Comfortable working with large datasets (SQL required, data warehouse and BI tools experience is a plus)
Process-oriented mindset with a desire to improve systems and workflows
Strong problem-solving skills and ability to work in ambiguity
Excellent communication skills and ability to work cross-functionally
Interest in startups and building in a fast-paced environment
Experience working with data pipelines, CRM systems, or analytics tools
Familiarity with B2B SaaS or marketplace businesses
Exposure to event, marketing, or partnership data
Competitive base salary and bonus
Healthcare covering medical, dental and vision
Work from our NYC HQ
Unlimited PTO plus two company-wide shutdowns during the July 4th week and the Christmas – New Years week
Come build a great company with us!
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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