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At Hive, we’re all about creating moments that matter and helping event marketers connect with their biggest fans. Our platform powers marketing for 1,500+ iconic events, festivals, venues, and promoters across North America. We help them grow their customer base and sell out shows using intelligent, automated, and personalized digital marketing tools. Hive integrates with 25+ platforms (like Ticketmaster and Shopify) to provide rich customer data in real-time, enabling event marketers to engage their audiences with precision and impact. With our new Agentic AI Pod, we're pioneering the next generation of marketing platform interactions, where AI agents can help marketers accomplish complex tasks through natural conversation and intelligent automation. Our Agentic AI Pod owns the code that lets our customers interact with Hive in new ways - via intelligent marketing and orchestration agents that understand natural language and take meaningful actions on our clients’ behalf. We’re constantly prototyping and learning about the frontier of agentic AI as we figure out how best to build and architect it in our context, creating new ways for clients to get real work done to their standards.
Job Responsibility:
Prototype new AI features: Build and ship experimental conversational interfaces that marketers can use to get real work done, refining them quickly based on user feedback
Build production-ready features: Take prototypes from concept to reliable production systems that scale to thousands of users
Design and ship new interaction modes: Explore how users can work with AI in Hive, from natural language commands to guided conversations, and implement both the frontend components and supporting APIs
Create AI-powered workflows: Build end-to-end features where AI agents help execute multi-step marketing tasks, from conversation state management to React UI components and real-time user feedback
Collaborate on architecture: Contribute to technical planning for how AI experiences integrate with Hive’s platform, while keeping a focus on user-facing product impact
Work across the stack: Spend most of your time on React and Typescript, with some backend work in Python/Django to build APIs and connect to AI systems
Requirements:
3+ years building modern web applications with strong experience in React and Typescript, and comfort working with Python/Django on the backend
Hands-on experience building polished user-facing features, with an eye for detail and usability
Curiosity about AI systems and excitement to experiment with LLM tools and apply them to real products
Product sense: you can take a vague problem and turn it into a clear, intuitive feature that helps users accomplish their goals
Experience working closely with Product and Design to build features, and a willingness to explore new patterns for user interaction
Ability to clearly explain your technical decisions, tradeoffs, and approaches to others
Comfort working in a fast-moving environment where best practices are still being defined and part of your job is helping shape them
Strong async communication and collaboration skills in a remote team
Nice to have:
You’ve shipped features that use AI in production, even if small in scope
You’ve experimented with LLM frameworks like LangChain, LangGraph, or semantic kernel
You’ve worked with vector databases (Qdrant, Pinecone, Weaviate) or retrieval-augmented generation (RAG) patterns
You have experience in marketing tech or SaaS and understand how marketers think about campaigns and workflows
What we offer:
Meaningful salary and equity: you're rewarded based on impact
Work fully remote from the comfort of your home
Flexible work hours: minimal meetings and no 9-5
Health & Dental coverage with Parental Leave top-ups in addition to EI benefits
Unlimited vacation/PTO: so you can be happy and healthy!