Member of Technical Staff: Data

Monk

$130K — $160K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of experience building production data systems in a startup environment
  • Proficient in Postgres and SQL with deep understanding of data pipelines and ETL/ELT processes
  • Hands-on experience with modern cloud infrastructure tools like Supabase, AWS, or Vercel
  • Strong ownership mentality, with a proactive approach to solve and prevent pipeline failures
  • Familiarity with AI technologies and a passion for building the data foundation for AI agents
  • Located in Flatiron, NYC, with a preference for in-person collaboration
  • Experience in fintech or payments data systems is a plus

Responsibilities

  • Own the end-to-end data platform including ingestion, transformation, storage, and serving
  • Design and implement the data infrastructure to create a single source of truth from customer data
  • Ensure top-notch data quality and correctness with best-in-class monitoring and alerting
  • Develop customer-facing data products that enhance visibility into accounts receivable health and cash flow
  • Make the data system easy to debug, query, and capable of handling significantly increased volume

Benefits

  • Immediate visibility into the impact of your work on customer strategies
  • Competitive salary and meaningful equity participation
  • Full health and dental coverage
  • High degree of freedom and no micromanagement
  • Collaborative environment with motivated teammates who aim high
  • Opportunity to accomplish more in a month than at most companies in a year
  • Access to a vibrant work environment in Flatiron, NYC
Full Job Description
Member of Technical Staff: Data

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.

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