Member of Technical Staff: Data Engineering

Monk; New York (NY); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

Meaningful equity

Full health/dental

Freedom and trust

Job summary

Monk in Flatiron, NYC is looking for a Member of Technical Staff in Data Engineering. You will be responsible for owning the entire data platform, designing scalable architectures, and ensuring data quality and accuracy.

The ideal candidate has over 4 years of experience in production data systems, is an expert in Postgres and SQL, and is familiar with modern cloud infrastructure like AWS. Competitive salary and benefits offered, with opportunities to see immediate production impact.

Qualifications

• 4+ years building production data systems at a venture-backed startup.
• Expert in Postgres and SQL with deep experience in data pipelines.
• Hands-on with modern cloud infrastructure.

Responsibilities

• Own Monk's data platform end to end: ingestion, transformation, storage, and serving.
• Design and build infrastructure that turns messy data into a single source of truth.
• Build customer-facing data products for visibility into AR health and cash flow.

Skills

Production data systems

Postgres and SQL

Data pipelines, ETL/ELT

Event-driven processing

AWS

Supabase

Data infrastructure

Tools

Supabase

AWS

Job description

Member of Technical Staff: Data Engineering

Monk is an AI-native accounts receivable platform for B2B companies. We automate billing, collections, and payments so finance teams can turn outstanding invoices into cash, faster.

We believe the AR stack is broken and the finance function deserves much better. We are bringing AI, speed, and real craftsmanship to a space that has been ignored for too long.

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 will do

• Own Monk's data platform end to end: ingestion, transformation, storage, and serving

• Design and build the data infrastructure that turns messy customer data into a single source of truth for agents and customers.

• Own 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.

• Build customer-facing data products: visibility into AR health, agent behavior, and cash flow that customers can act on

• Make 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

• In‑person in Flatiron, NYC

• Bonus: (1) fintech or payments data systems, (2) data infrastructure for LLM or agent products, (3) founding or early data hire

Why join

• Customers use Monk to guide their AR strategy today. You will see the impact of your work in production immediately

• Competitive salary, meaningful equity, full health/dental

• Freedom and trust. There are no spec handoffs

• We are all in. Expect motivated teammates who ship fast and hold a high bar

• Experienced founders with real traction and happy customers

• You will produce more here in a month than you would at most companies in a year

• Build in person in Flatiron, NYC. It is more fun

We hire for intensity, craft, and attitude. Everything else can be learned.