Vendelux Logo

Vendelux

Data & AI Product Manager

Reposted 16 Days Ago
Hybrid
New York, NY, USA
150K-225K Annually
Mid level
Hybrid
New York, NY, USA
150K-225K Annually
Mid level
The Technical Product Manager will manage core systems, integrations, data flows, and ensure reliability while collaborating across teams to reduce manual workflows and improve product execution.
The summary above was generated by AI

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. 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.

________________

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 chat experiences that users trust and return to.

  • AI workflows that reliably create quality data or turn data into accurate insights and recommendations at scale.

  • Clear ownership of AI feature quality, with well-defined data flows behind it.

Benefits

  • 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.

HQ

Vendelux New York, New York, USA Office

We are based in Midtown, which makes for easy commuting. Our office has easy access to amazing restaurants and bars in Flatiron and Koreatown.

Similar Jobs

7 Days Ago
In-Office or Remote
2 Locations
Senior level
Senior level
Information Technology • Machine Learning • Natural Language Processing • Software • Database • Generative AI
Own strategy and roadmap for Crunchbase's customer-facing AI data layer. Identify and validate model-derived data products, lead cross-functional development, set quality standards, drive adoption and monetization, and monitor performance and product economics.
Top Skills: AIAPIsData ScienceMachine Learning
22 Days Ago
In-Office
New York, NY, USA
220K-303K Annually
Senior level
220K-303K Annually
Senior level
eCommerce • Fintech • Machine Learning • Retail
Lead product strategy for Faire's data, ML, and AI platforms: run discovery with engineers and scientists, prioritize investments across training, deployment, observability, and data quality, define SLAs and data contracts, improve metadata/lineage/discovery, and drive safe AI adoption and platform productization to increase adoption and measurable user outcomes.
Top Skills: Ai-Assisted AnalyticsData ContractsData LineageData PipelinesLlmsMetadata ManagementModel DeploymentModel ObservabilityModel RegistryModel TrainingNatural-Language ExplorationRetrieval PatternsSemantic Layer
11 Days Ago
Remote or Hybrid
US
138K-221K Annually
Senior level
138K-221K Annually
Senior level
Artificial Intelligence • Cloud • Fintech • Machine Learning • Mobile • Software
Lead ServiceTitan's Australian product roadmap, localize core platform for compliance and market fit, drive customer discovery with Australian contractors, coordinate with global engineering and GTM teams, measure region-specific metrics, and launch/iterate products to establish long-term retention and sales enablement.
Top Skills: APIsMyobQuickbooksXero

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account