Responsibilities

Build AI systems with LangGraph: Design, build, and maintain scalable AI systems with LangGraph and TypeScript to create automated marketing campaigns.
Design Data Backbone: Work on the data analytics infrastructure that will allow AI agents to get smarter over time.
System Architecture: Architect and manage robust database schemas with PostgreSQL and Supabase, ensuring data integrity and performance.
Product Ownership: Own projects across the full lifecycle, including concept development, implementation, deployment, and ongoing maintenance.
User-Centric Design: Apply sound product and design judgment to build user-centric software features aligned with current market and customer needs.
Collaboration: Collaborate closely with the operations team and customers via Slack and Notion to ensure technical solutions are aligned with user requirements.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative/engineering field, or equivalent practical experience.
Minimum of 3 years full-time experience in software engineering, data science, or applied machine learning.
Strong desire to work with data and numbers, and advanced understanding of machine learning, data science, and statistics.
Strong backend development skills and experience with PostgreSQL or relational databases.
Demonstrated ability to work independently.
Based in or willing to relocate to San Francisco; on-site presence required.

Nice to Have

Worked in a startup or similar fast-paced environment.
Frontend Expertise: Proficiency in building responsive frontends using React/Next or Vue.js and the Nuxt framework.
Experience in working with LangGraph, LangChain and TypeScript.
Strong creative judgment with a sense for marketing.

Tech Stack

Frontend: Vue.js, Nuxt
Backend: Node.js, TypeScript, Inngest
AI Agents: LangGraph
Database: PostgreSQL (Supabase)
Infrastructure: Render, Inngest
Enterprise Cloud: Microsoft Azure (Dedicated Deployments)
Collaboration: Linear, GitHub, Slack, Notion