Vendelux provides event intelligence and news about global business conferences and trade shows.
Our platform helps event organizers, marketers and attendees stay on top of event industry trends…
Vendelux provides event intelligence and news about global business conferences and trade shows.
Our platform helps event organizers, marketers and attendees stay on top of event industry trends…
What: AI-native event intelligence platform for discovering B2B events, attendee intelligence, meeting booking, and CRM-native attribution
Founders: Alex Reynolds (Co‑Founder & CEO) and Stefan Deeran (Co‑Founder & COO)
Headquarters: New York City
Employees: ≈60–96 (public site lists 60+; snapshot lists 96)
Funding: Reported total ~$18M including a $14M Series A led by FirstMark
Company Overview
Problem Domain
Event discovery and event-driven account-based marketing / pipeline attribution for B2B GTM teams.
Industry
Technology, Information and Media
Funding Track Record
Series A- 2026-02
14000000
Reported Series A with participation from Cervin Ventures and event founders (Dealroom summary).
Seed- 2022
2400000
Reported seed-stage financing (~$2.4M reported in 2022).
Investor Signal
“FirstMark led Series A; other participating investors reported include Cervin Ventures and Alumni Ventures”
Founders
What we do
Join the Team
Senior Software Engineer
On-SiteNew York, US
On-Site • New York, US
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Who you are
This role is perfect for someone motivated more by impact than method, loves to solve data problems using whatever means necessary, and is eager to see their output shape the user experience
5+ years of professional experience in software engineering or data engineering, with at least 3+ years building AI/ML-driven products
Strong programming skills in Python and proficiency in SQL
Experience with modern AI frameworks (eg HuggingFace, LangChain, etc.) and designing data pipelines (Airflow, Dagster, or equivalent),
Solid understanding of cloud-based infrastructure (AWS, GCP, or Azure)
Experience applying LLMs and generative AI in production, including prompt engineering, RAG, and LLM deployment
Strong grasp of fundamental data science and machine learning techniques, with the ability to balance research and engineering tradeoffs
Demonstrated ability to translate business problems into data solutions that drive business value
Proven track record of shipping user-facing features with measurable impact
Excellent written and verbal communication skills; ability to collaborate across data, engineering, and product teams
Startup experience preferred
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
What the job involves
Benefits
Regular Retreats: We regularly meet up in beautiful locations around the world to discuss all things Vendelux
Recharge Weeks: The company shuts downs two times a year so everyone can recharge without work piling up
Startup jobs. A lot of them.
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We’re looking for a Senior Engineer, Data & AI who thrives at the intersection of software engineering, data engineering, and applied AI to build production-grade systems
You’ll develop, deploy, and scale features that sit at the core of our product
Design & Build AI-Powered Features: Architect, implement, and ship data-driven product features, always starting with the customer problem first. From prototyping through production, you’ll apply the right level of technology (whether simple heuristics or advanced AI) to deliver impact
Build for Production: Build maintainable and scalable systems, including writing clean, testable code, integrating with new and existing data pipelines, and deploying solutions and services into cloud environments
End to End Solution Delivery: Operate as an end-to-end developer in a fast paced startup. This involves identifying opportunities, prototyping solutions, securing stakeholder support, and productionalizing features that deliver measurable business value
Applied AI Innovation: Research and apply modern methods (AI agents, LLMs, RAG, embeddings, supervised/unsupervised learning) to power new product capabilities, prioritizing impact and speed over perfection
Enhance User Experience Through AI: Translate business problems into AI solutions that improve user workflows, accelerate insights, and drive measurable value
Collaborate Cross-Functionally: Work with business stakeholders and other engineers to turn customer problems into technical requirements and impactful features
Promote Best Practices: Establish and evangelize standards for AI/ML engineering and data quality across the team
