JOB DETAILS
Member of Technical Staff: Data
CompanyMonk
LocationSan Francisco
Work ModeOn Site
PostedAugust 23, 2026

About The Company
No description available for this Company.
About the Role
Member of Technical Staff: DataMonk 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 doOwn Monk's data platform end to end: ingestion, transformation, storage, and servingDesign 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 onMake data easy to debug, easy to query, and fast at 10x and 100x today's volumeWho you are4+ 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 architectureExpert in Postgres and SQL. Deep experience with data pipelines, ETL/ELT, and event-driven processingHands-on with Supabase, AWS, Vercel, or comparable modern cloud infrastructureOwner. You do not file tickets about pipeline failures. You fix them, then make sure they cannot happen againAI-native. You use AI to move faster and you are excited to build the data foundation that makes AI agents production-gradeIn-person in Flatiron, NYCBonus: (1) fintech or payments data systems, (2) data infrastructure for LLM or agent products, (3) founding or early data hireWhy joinCustomers use Monk to guide their AR strategy today. You will see the impact of your work in production immediatelyCompetitive salary, meaningful equity, full health/dentalFreedom and trust. There are no spec handoffsWe are all in. Expect motivated teammates who ship fast and hold a high barExperienced founders with real traction and happy customersYou will produce more here in a month than you would at most companies in a yearBuild in person in Flatiron, NYC. It is more funWe hire for intensity, craft, and attitude. Everything else can be learned.
Key Skills
PostgresSQLData PipelinesETL/ELTEvent-driven ProcessingSupabaseAWSVercel
Categories
EngineeringData
Benefits
EquityHealth InsuranceDental Insurance
Job Information
📋Core Responsibilities
Own Monk's data platform end to end, including ingestion, transformation, storage, and serving; build the data infrastructure that turns messy customer data into a single source of truth for AI agents and customers, and build customer-facing data products around AR health, agent behavior, and cash flow.
📋Job Type
full time
📊Experience Level
2-5
💼Company Size
Not specified
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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