4+ years of experience building production data systems at a venture-backed startup
Expert in Postgres and SQL with extensive experience in data pipelines
Hands-on experience with modern cloud infrastructure like Supabase, AWS, or Vercel
Proactive ownership of data pipeline issues
Strong interest in harnessing AI to enhance data processes
Bonus expertise in fintech or payments data systems
Responsibilities
Own the complete data platform lifecycle including ingestion, transformation, and storage
Design infrastructure for transforming chaotic customer data into a reliable single source of truth
Ensure end-to-end data quality, implementing robust monitoring and validation systems
Develop customer-facing data products that provide actionable insights
Enhance data accessibility for debugging and querying to manage significantly increased volume
Benefits
Immediate visibility into the impact of your work on customer AR strategies
Full health and dental benefits
Trust and freedom to execute without micromanagement
Collaborative environment with fast-paced and motivated teammates
Opportunity to work closely with experienced founders and a growing customer base
High productivity potential in a short timeframe
In-person collaboration in a vibrant Flatiron, NYC location
Full Job Description
Member of Technical Staff: Data
The role:
You will be Monk's first dedicated data hire owning our full data stack - from architecture and pipelines to telemetry, analytics and beyond. Monk agents run on data, and ours has to be correct every time. You will build and maintain the systems that keep our data accurate, reliable, and actionable within the company. This is a one of a kind opportunity for the data-obsessed engineer.
In this role you will:
Design and manage database ingestion, architecture, data modeling
Be the end-to-end owner for ETL/ELT pipelines and orchestration workflows
Build best-in-class monitoring, validation, and alerting for your work
Deliver world-class reporting for customer-facing agentic products and internal teammates: metrics, datasets, self-service analytics
Propose and ship new data integrations with internal and external systems
Who you are:
4+ years building production data systems at a venture-backed startup as a data engineer full-stack data person.
You scaled the system you built, and lived with the consequences of your own choices
Expert in Postgres and SQL (must have)
Expertise in data pipelines, ETL/ELT tools, warehouse architecture
Hands-on with Supabase, AWS, Vercel, or comparable modern cloud infrastructure
An 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 are excited to build for agents.
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
Our values (we hope that you will add your DNA/values and impact our culture as you build with us):
Ownership and craft: We own our work end to end and obsess over getting the details right. We believe that our Customers deserve the best possible outcomes and we strive to produce work that would get a 12/10 reaction from either our Customers or members of our team. Ownership is also knowing when to go deep on a problem and when to move fast. And when the v1 is live - we own all follow-through until it is perfect
Speed and urgency: We ship daily. We act now. Not tomorrow and not the end of the week, but today - this hour. We love shipping fast to delight our Customers
Radical clarity: We believe in getting to the truth. It is important that all of us reason from the same version of reality (the truth) so that we can get the best result. We strive to get the truth by any means necessary. This means being open to feedback, obsessing over improving from our mistakes and clear communication
Why solve this problem now:
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
$T+ market and max EV from a single AR wedge
No clear winner has emerged in this massive category. It can be us
Insulated from labs. This workflow is complex, too many integrations are required and the last mile in AR is too bespoke for general purpose models
Hard problem worth solving. Revenue intelligence is challenging and inherently unsexy. Frankly, there are fewer strong companies in our space and we are building the most talent-dense team
Undeniable $ROI that allows us to clearly illustrate value to Customers, and embeds us into integral workflows
Our unfair advantage: We have ex-finance founders that have previously exited, scars and learnings from those experiences, an eng-first culture and late-mover advantage
Why build with us // what we offer:
You want to be a founder someday. We are sharing everything we've learned building our past companies (25% of the team are 2nd time founders). One of our primary goals is to help you become a founder and create a place where you do your life's best work (see more here)
Real ownership and an opportunity to 10x your learning curve. You will see your work go to production and deliver results for Customers, fast. Your own experience is the greatest teacher and at Monk we are maximizing the # of times you get to have valuable experiences
Build at the frontier of applied AI and solve hard problems. You are curious about AI and do not want to miss this moment building at the frontier
Experienced founders that have exited before and a motivated team that is all-in
Competitive salary and meaningful equity
Medical/dental/vision, flexible paid time off and dinner stipend
Beautiful office in Flatiron, New York
We hire for intensity, craft, and attitude. We believe that most things can be learned.
Category defining companies are built with exceptional people. Our team is one of the products we're shipping = come help build it.
