Member of Technical Staff: Data Engineering

Monk•New York City, NY

4d•Onsite

About The Position

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. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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