Member of Technical Staff Data Engineering - monk

MEMBER OF TECHNICAL STAFF: DATA ENGINEERING

Monk is an AI-native accounts receivable (AR) platform for B2B companies, helping businesses get paid fast.

The AR stack is broken. Finance teams still chase payments with spreadsheets, reconcile AR in spreadsheets and use software that was built a decade ago. We think this is one of the largest, most ignored problems in B2B software. Trillions of dollars sit in outstanding invoices and the tools to unlock cashflow are stuck in the past.

We are rebuilding Monk with AI, speed, and real craftsmanship.

We are already doing this for over $1B of accounts receivables. We are backed by leading investors and our founders bring significant experience to our company (more here https://literate-vertebra-43d.notion.site/Who-we-are-1a13071c5fd380e9b006f1d9c57ea87f).

We are early, the upside is enormous, and the hardest, but also the most rewarding work is ahead of us.

THE ROLE

You will be Monk's first dedicated data hire owning our full data stack – from architecture and pipelines to telemetry, analytics and beyond. Monk agents run on data, and ours has to be correct every time. You will build and maintain the systems that keep our data accurate, reliable, and actionable within the company.

This is a one of a kind opportunity for the data-obsessed engineer.

IN THIS ROLE YOU WILL:

• Design and manage database ingestion, architecture, data modeling
• Be the end-to-end owner for ETL/ELT pipelines and orchestration workflows
• Build best-in-class monitoring, validation, and alerting for your work
• Deliver world-class reporting for customer-facing agentic products and internal teammates: metrics, datasets, self-service analytics
• Propose and ship new data integrations with internal and external systems

WHO YOU ARE

• 4+ years building production data systems at a venture-backed startup as a data engineer full-stack data person.
• You scaled the system you built, and lived with the consequences of your own choices
• Expert in Postgres and SQL (

must have

)

• Expertise in data pipelines, ETL/ELT tools, warehouse architecture
• Hands-on with Supabase, AWS, Vercel, or comparable modern cloud infrastructure
• An owner. You do not file tickets about pipeline failures. You fix them, then make sure they cannot happen again
• AI-native. You use AI to move faster and are excited to build for agents.
• Excited to build in person in Flatiron, NYC

BONUS IF

YOU:

• Have experience with fintech or payments data systems
• Have built data infrastructure for LLM or agent products
• Were a founding or early data hire

OUR VALUES (WE HOPE THAT YOU WILL ADD YOUR DNA/VALUES AND IMPACT OUR CULTURE AS YOU BUILD WITH US):