Hazel

Extend AI agent integrations with platforms like Shopify and Klaviyo and develop full-stack product features and AI workflows. | Experience shipping production LLM features, owning APIs at scale, strong TypeScript proficiency, and a high-agency mindset for a senior engineering role. | 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 services AI agent workflows: streaming LLM responses, multi-step tool use, approvals Integrations 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 experience You 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 agency You aren't excited about Comp & benefits $150–250K base 0.25–0.5% equity Top-tier health, dental, vision Hybrid in NYC (ask about our pool table) How we hire 15-min intro Founder call Technical interview Onsite — meet the team Offer

Build integrations and features for AI coworker platforms and ship full-stack product features impacting consumer brands. | Experience shipping production LLM features, owning APIs at scale, strong TypeScript proficiency, and ability to work in a fast-paced small team. | 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 services AI agent workflows: streaming LLM responses, multi-step tool use, approvals Integrations 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 experience You 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 agency You aren't excited about Comp & benefits $150–250K base 0.25–0.5% equity Top-tier health, dental, vision Hybrid in NYC (ask about our pool table) How we hire 15-min intro Founder call Technical interview Onsite — meet the team Offer

Extend AI coworker integrations with platforms like Shopify and Klaviyo, develop full-stack features and AI agent workflows, collaborating directly with founders. | Experience shipping production LLM features, owning APIs at scale, strong TypeScript proficiency, and a proactive mindset. | 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 services AI agent workflows: streaming LLM responses, multi-step tool use, approvals Integrations 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 experience You 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 agency You aren't excited about Comp & benefits $150–250K base 0.25–0.5% equity Top-tier health, dental, vision Hybrid in NYC (ask about our pool table) How we hire 15-min intro Founder call Technical interview Onsite — meet the team Offer

Own and maintain end-to-end data platform including ingestion, transformation, orchestration, and AI agent development for data integration automation. | 4+ years in production data infrastructure with strong SQL, Python, and data orchestration tool experience managing large-scale data warehouses. | 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 serving some of the biggest consumer brands including Bogg Bag, Ultra, and OneSkin. Why this role exists Hazel’s intelligence is built on top of a data warehouse meticulously tailored for consumer brands. We’re moving a massive amount of data and the owner of this layer plays a direct part in how users interact with Hazel Our data layer is tens of terabytes of data and thousands of data tables, and customers expect perfect sync reliability, new integrations to be built in days, and for every question Hazel asks to be correctly grounded in data. The stack Experience with our stack is a bonus, but similar experience working on problems at our scale is required: dbt Temporal dltHub Duckdb / Motherduck Dagster What you'll do You own the data platform end to end — ingestion, transformation, orchestration, and the reliability of all three. As importantly, you’ll need to further develop our existing AI agents that write, build, and test new integrations end-to-end. Automating your job is the only way you will scale it. Beyond that you’ll: - Own data platform reliability as we scale - Optimize ingestion pipelines for low-latency data availability, ensuring consistent performance during peak seasonal surges. - Build our data transformation layer so Hazel has clean, predictable data to work with. - Automate your own job, especially the data integrations and transformations - Ship new source integrations end to end Who we're looking for - 4+ years building production data infrastructure, with real ownership of a warehouse someone else depended on. - Deep understanding of dbt and SQL. You have opinions about grain, incrementality, and data modeling. - Strong Python. Our ingestion layer is code you'll be writing, not a UI you'll be clicking. - You've owned an orchestrator in production — Dagster, Airflow, Temporal, Prefect, whatever es. - AI-native in practice. You 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 write documentation well, because here it's a feature. - Comfortable being the only person who does this job, and equally comfortable making sure that stops being true. Nice to have: Experience with open table formats, e-commerce/DTC data (Shopify, Klaviyo, Amazon SP-API, ad platforms), and designing multi-tenant warehouses. Comp & benefits - $155–200K base - 0.15–0.25% equity - Top-tier health, dental, vision - 401(k) - Unlimited PTO - Hybrid in NYC How we hire - 15-min intro - Founder call - Systems design and case study - Onsite

Own end-to-end data platform including ingestion, transformation, orchestration, and develop AI agents to automate data integrations. | 4+ years building production data infrastructure with proficiency in dbt, SQL, Python, and managing data orchestrators. | 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 serving some of the biggest consumer brands including Bogg Bag, Ultra, and OneSkin. Why this role exists Hazel’s intelligence is built on top of a data warehouse meticulously tailored for consumer brands. We’re moving a massive amount of data and the owner of this layer plays a direct part in how users interact with Hazel Our data layer is tens of terabytes of data and thousands of data tables, and customers expect perfect sync reliability, new integrations to be built in days, and for every question Hazel asks to be correctly grounded in data. The stack Experience with our stack is a bonus, but similar experience working on problems at our scale is required: dbt Temporal dltHub Duckdb / Motherduck Dagster What you'll do You own the data platform end to end — ingestion, transformation, orchestration, and the reliability of all three. As importantly, you’ll need to further develop our existing AI agents that write, build, and test new integrations end-to-end. Automating your job is the only way you will scale it. Beyond that you’ll: - Own data platform reliability as we scale - Optimize ingestion pipelines for low-latency data availability, ensuring consistent performance during peak seasonal surges. - Build our data transformation layer so Hazel has clean, predictable data to work with. - Automate your own job, especially the data integrations and transformations - Ship new source integrations end to end Who we're looking for - 4+ years building production data infrastructure, with real ownership of a warehouse someone else depended on. - Deep understanding of dbt and SQL. You have opinions about grain, incrementality, and data modeling. - Strong Python. Our ingestion layer is code you'll be writing, not a UI you'll be clicking. - You've owned an orchestrator in production — Dagster, Airflow, Temporal, Prefect, whatever es. - AI-native in practice. You 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 write documentation well, because here it's a feature. - Comfortable being the only person who does this job, and equally comfortable making sure that stops being true. Nice to have: Experience with open table formats, e-commerce/DTC data (Shopify, Klaviyo, Amazon SP-API, ad platforms), and designing multi-tenant warehouses. Comp & benefits - $155–200K base - 0.15–0.25% equity - Top-tier health, dental, vision - 401(k) - Unlimited PTO - Hybrid in NYC How we hire - 15-min intro - Founder call - Systems design and case study - Onsite