Data & AI Product Manager
Vendelux
| Company | Vendelux |
| Category | Data & Analytics |
| Location | New York City |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Manager |
| Salary | USD 150k–225k |
| Posted | 16 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
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 FirstMark. We partner with many of the fastest-growing companies in the world, and our team includes leaders from Bain, ZoomInfo, Shutterstock, FanDuel, Compass, Airbnb, Forter and beyond.
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WHAT YOU’LL OWN
- AI products — own the AI-powered features at the heart of Vendelux, from insight generation to recommendations that customers act on every day.
- Conversational & chat interfaces — shape how users ask questions and get answers in natural language, defining what a great chat-first experience looks like on top of our data.
- AI workflows — design the LLM-driven pipelines that classify, enrich, summarize, and recommend, so insights and actions are produced automatically and reliably.
- Core data platform & systems — own the infrastructure that powers Vendelux data end-to-end
- Data & attribution logic — define how data flows, gets credited, and feeds the models and products built on top of it.
- Product execution — partner closely with engineering and data science to ship, not just spec.
- Quality & trust — treat accuracy, evaluation, and output quality of AI features as core product features.
You’ll work daily with our data/AI, engineering, analytics, and GTM teams. As a Data & AI Product Manager, you will own the AI products and systems that make this possible.
WHAT WE’RE LOOKING FOR
Technical background
- Fluency with AI — foundational LLMs, prompting, retrieval, and custom model workflows — and a sense for where they work well and where they don’t.
- Interest in how AI products are built and evaluated: prompt design, guardrails, and measuring output quality.
- Strong grasp of data modeling and data architecture that powers AI features.
- Experience on data-intensive or AI products, and comfortable in SQL and debugging data and system issues at a high level.
Product experience
- 3+ years in product management or a closely related role.
- Proven track record shipping complex products end-to-end — ideally AI, data, or ML-driven features.
- Sharp prioritization and sound decision-making under ambiguity.
Collaboration & communication
- Fluent working with engineers and data scientists on technical concepts and tradeoffs.
- Strong written communication — clear specs, tight documentation.
- Able to translate between business stakeholders and technical teams.
Nice to have
- Experience building or shipping LLM-powered features, chatbots, or AI assistants.
- Familiarity with model evaluation, prompt management, or AI observability tooling.
- Background in event marketing or GTM workflows.
WHAT SUCCESS LOOKS LIKE
- AI products and
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