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Founding Software Engineer

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. Today, Hazel is unrivaled at research and analysis: ask "why did repeat purchase rate drop last week?" and 30 seconds later you get an answer, cited from live data.

Next on the roadmap: Hazel takes action herself — proactively flagging issues, then making changes directly in Shopify and other systems she connects to. The end state: she runs full playbooks autonomously.

We're 3 people, venture-backed, managing a long runway while rapidly scaling. In the last year, brands on Hazel did over $1B in revenue. Customers include Bogg Bag and OneSkin. We're hiring engineer #2 to join the founding team.

What you'll work on

In your first 60 days, you'll be in the middle of building the action layer — Hazel's first 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 services
AI agent workflows: streaming LLM responses, multi-step tool use, approvals
Integrations across Shopify, Klaviyo, Meta, Amazon — reading today, writing soon
The infra that ties it together: Protobuf/Buf, Temporal, Postgres, DuckDB

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, not a demo. You can describe how you evaluated it and what failure modes you hit.
You've owned an API at scale, query optimization, schema design, picking the right tool for the workload.
You've turned a customer conversation into shipped code in under a week.
Strong TypeScript. Comfortable in Go, or willing to ramp fast.
You care about how the product feels, not just whether the API works.