Member of Technical Staff: Data Engineering
Software Engineering, IT, Data Science
New York, NY, USA
Member of Technical Staff: Data Engineering
Monk is an AI-native accounts receivable platform for B2B companies.
The AR stack is broken. Finance teams still chase payments with spreadsheets, email threads, and software that was old 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 tooling to move it is stuck in the past. We're rebuilding it with AI, speed, and real craftsmanship.
We're already doing this for over $1Bn of accounts receivable, and backed by Footwork, Acrew and Better Tomorrow Ventures. We're early, the upside is enormous, and the hardest work is still ahead of us.
The role
You will be Monk's first dedicated data hire. Money movement runs on data, and ours has to be correct every time. You will own the pipelines that ingest, normalize, and reconcile financial data across every customer environment and the data foundation our AI agents reason over. This is not a supporting role. You will set the architecture, own the quality bar, and build the platform we scale on.
What you'll own
Monk's data platform end to end: ingestion, transformation, storage, and serving
Designing and building the data infrastructure that turns messy customer data into a single source of truth for agents and customers.
Data quality and correctness end to end and do not accept “mostly right” as an answer. Build best-in-class monitoring, validation, and alerting for your work.
Building customer-facing data products: visibility into AR health, agent behavior, and cash flow that customers can act on
Making data easy to debug, easy to query, and fast at 10x and 100x today's volume
Who you are
4+ years building production data systems at a venture-backed startup. You joined when the data layer was duct tape, scaled it through real growth, and lived with the consequences of your own architecture
Expert in Postgres and SQL. Deep experience with data pipelines, ETL/ELT, and event-driven processing
Hands-on with Supabase, AWS, Vercel, or comparable modern cloud infrastructure
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 you are excited to build the data foundation that makes AI agents production-grade
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
Why join
A broken market and a real shot at owning it. AR is huge, ignored, and ready to be rebuilt. We're early and the surface area is enormous
Real ownership. No spec handoffs. You'll own systems end to end and watch real customers depend on your work every day
A team that's all in. Motivated teammates who ship fast and hold a high bar
Experienced founders that have exited before with real traction and happy customers
Competitive salary, meaningful equity, full medical/dental and an office dinner stipend
