Full Stack Developer

About Hazel Hazel is the AI coworker for consumer brands. We connect to a brand's live data — Shopify, Klaviyo, Amazon, Meta, and dozens of others — and turn it into a teammate operators talk to every day. Ask "why did repeat purchase rate drop last week?" and 10 seconds later you get an answer, cited from live data. Hazel also takes action herself, proactively flagging issues and making changes directly in Shopify and the other systems she connects to, on the way to running full playbooks autonomously. We've raised more than $2M, are rapidly scaling, and serve some of the biggest consumer brands including Bogg Bag, Ultra, and OneSkin. You'll join a small, senior engineering team working directly with the founders. What You'll Work On In your first 60 days, you'll be extending Hazel's action layer — the writes back into the systems she connects to. Think: creating product bundles in Shopify, launching A/B tests in Klaviyo, and the human-in-the-loop scaffolding that makes all of it safe. Beyond that: Full-stack product features across TypeScript/React + Go servicesAI agent workflows: streaming LLM responses, multi-step tool use, approvalsIntegrations across Shopify, Klaviyo, Meta, Amazon, and more, both reading and writing You'll work directly with the founders and customers. Code you ship today is in front of operators tomorrow. Who We're Looking For You've shipped a production LLM feature to real users. You've owned an API at scale: query optimization, schema design, picking the right tool for the workload. Strong TypeScript experienceYou use coding agents to do the work of a much larger team, and you can tell us where they helped and where they made things worse. You care deeply about how the product ergonomics and UX. Former or aspiring founders This isn't for you if… You want product specs handed to you. Your manager is the customer. You're low agencyYou aren't excited about Comp & Benefits $150–250K base0.25–0.5% equityTop-tier health, dental, visionHybrid in NYC (ask about our pool table) How We Hire 15-min introFounder callTechnical interviewOnsite — meet the teamOffer Compensation Range: $150K - $250K