Senior Software Engineer Data & AI

Reposted 8 Days Ago
New York, NY, USA
Hybrid
175K-225K Annually
Senior level
Marketing Tech
Vendelux event intelligence helps businesses meet more customers at in-person events.
The Role
The Senior Data & AI Engineer will design, build, and deliver data-driven features, leveraging AI to improve user experiences, while collaborating with stakeholders and ensuring high-quality data solutions.
Summary Generated by Built In

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.

________________

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. 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.

Key Responsibilities

  • 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.

Qualifications

  • 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.

Why Join Us

  • Direct product impact: Your models will shape how event marketers discover, connect, and measure ROI.

  • Product market fit: Customers love our platform; now it’s about enhancing the user experience and scaling with AI.

  • Ownership: You’ll set the standard for how we build, evaluate, and ship AI at Vendelux.

  • Growth: Work on cutting-edge problems in LLMs, recommendation systems, and applied ML.

  • Team: Join a collaborative, ambitious group with backgrounds at top tech 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.

Skills Required

  • 5+ years of professional experience in software engineering or data engineering
  • 3+ years building AI/ML-driven products
  • Strong programming skills in Python
  • Proficiency in SQL
  • Experience with modern AI frameworks (e.g. HuggingFace, LangChain)
  • Experience designing data pipelines (Airflow, Dagster)
  • Solid understanding of cloud-based infrastructure (AWS, GCP, Azure)
  • Experience applying LLMs and generative AI in production
  • Excellent written and verbal communication skills
  • Startup experience

Vendelux Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vendelux and has not been reviewed or approved by Vendelux.

  • Strong & Reliable Incentives Sales compensation is positioned with competitive on‑target earnings, and attainment is described as achievable for many roles. This structure can make variable pay feel dependable when performance targets are met.
  • Leave & Time Off Breadth Time‑off policies include unlimited PTO alongside company‑wide shutdowns, plus paid holidays, sick leave, bereavement, and a listed sabbatical. These practices expand rest opportunities and help minimize work accumulation during breaks.
  • Equity Value & Accessibility Equity and stock options are included with roles, and an employee stock purchase plan is also available. This breadth of ownership programs increases access to potential upside across the organization.

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The Company
HQ: New York, NY
60 Employees
Year Founded: 2021

What We Do

Vendelux is the leading AI event intelligence platform designed for event marketers and event organizers. The platform boasts over 160,000 global B2B events, providing users with powerful data-driven insights and an array of tools to optimize their event marketing budgets and event ROI. Founded in 2021 by Alex Reynolds and Stefan Deeran, Vendelux is based in New York City. For more information, visit https://vendelux.com.

Why Work With Us

We are a fast-growing startup on a mission to empower event marketers to lead and thrive. Our team is comprised of hard workers who enjoy collaboration and are results-focused. We have a global team, so meeting up IRL is core to who we are and the business we are building; so we always find time to meet in person and have fun as a team!

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