Posting record
Open 12+ days
- Monk's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Monk, so its true age is longer.
Last checked Nov 2, 2026.
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Upload your resumeWhat the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
Member of Technical Staff: Data
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
- 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
We hire for intensity, craft, and attitude. Everything else can be learned.
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