Staff AI Engineer (Remote)

The company [link for members] 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. The company 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, the company helps companies turn events into a predictable and scalable growth engine.

In addition, the company 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, the company 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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As an AI Engineer at the company, you will research, build, and ship AI-powered product capabilities that improve user workflows, accelerate insights, and drive measurable business value. You’ll help establish AI as a foundational layer of the the company product experience, grounded in machine learning and data science and spanning modeling,agentic systems, LLMs, and scalable AI infrastructure.

WHAT YOU'LL DO

• Research and apply modern ML and AI methods, including AI agents, LLMs, RAG, embeddings, supervised learning, and unsupervised learning, to power new product capabilities.

• Choose, build, train, and evaluate ML models and AI methods, using data to decide what to build and where to improve model performance, balancing research and engineering tradeoffs.

• Prioritize impact and speed over perfection when developing and shipping AI-powered solutions.

• Translate business problems into AI solutions that improve user workflows, accelerate insights, and drive measurable value.

• Own the architecture of agentic chat across the the company platform – thesystems that allow AI agents to reason, take action, and surface insights across every surface of the product.

• Establish patterns for how agents interact with internal data, external tools, and user workflows, turning conversational AI from a feature into a foundational layer of the product experience.

• Architect multi-tenant AI infrastructure that meets the performance, latency, and cost requirements of a growing B2B SaaS product.

• Own observability, evaluation frameworks, and guardrails to keep ML and AI features production-grade.

• Work closely with product and application engineering teams to translate business requirements into AI systems.

• Serve as a thought partner to leadership on the AI roadmap, influencing how the company thinks about product differentiation through AI.

WHO YOU ARE

• 8+ years of professional experience in machine learning, data science, or closely adjacent work, with progressive depth and breadth in software engineering or data engineering. You've shipped ML and LLM-powered or agentic features to production users including prompt engineering, RAG, evaluation and LLM deployment.

• You’ve owned the method, not just the implementation, including which model or approach to use, trained and evaluated it, and can defend those choices against the alternatives you considered.

• You operate independently - you set technical direction, form defensible opinions on what’s worth building, and don’t need a PM to scope the work for you.

• Strong programming skills in Python and proficiency in SQL.

• Experience across the modeling stack (e..g PyTorch or TensorFlow, scikit-learn, experimentation and feature engineering) and modern AI frameworks such as HuggingFace and LangChain, plus data pipelines using Airflow, Dagster, or equivalent.

• Solid understanding of cloud-based infrastructure, including AWS, GCP, or Azure.

• 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.

Our stack

• Frontend: Typescript, React, MUI/Shadcn, Node.js

• Backend: Python, Django, Typescript, Node.js, MySQL, Postgres, AWS, GCP

• Data: Python, Dagster, Snowflake

• Other tools: Linear, GitHub, Datadog, Cursor / Claude Code

BENEFITS

• Competitive base salary and bonus

• Equity

• Healthcare covering medical, dental and vision

• 401(k)

• Unlimited PTO plus two company-wide shutdowns during the July 4th week and the Christmas – New Year's week

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.

The company 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.