What are the responsibilities and job description for the Founding Software Engineer position at Hazel?
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:
Who we're looking for
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
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.
- You want product specs handed to you. Your manager is the customer.
- You don’t have high agency or urgency.
- You need a 30-person team before you'd take the leap.
- $150–200K base
- 0.5–1% founding equity
- Top-tier health, dental, vision
- 401(k)
- Unlimited PTO
- Hybrid in NYC
- 15-min screening call
- Founder call
- Live pair coding
- Onsite — meet the team
- Offer
Salary : $150,000 - $200,000