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Mount Sinai Health SystemsNew York, New York, United States · On-site
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Mount Sinai Health SystemsNew York, New York, United States · On-site
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New York, New York, United States · Remote OK
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New York, New York, United States · On-site
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New York, New York, United States · On-site
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Hudson River Trading (HRT) is seeking an LLM-focused AI Researcher to join the HAIL team. HAIL (HRT AI Labs) is the team at HRT responsible for developing and maintaining our most powerful AI models, which are used by ou…
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New York, New York, United States · Hybrid
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New York, New York, United States · On-site
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New York, New York, United States · Remote OK
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New York, New York, United States · On-site
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New York, New York, United States · On-site
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H&H is seeking a Traffic Group Manager to support the continued growth of the firm’s roadway and transportation practice throughout the New York Metropolitan Area. This leadership role is responsible for providing techni…
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Monk
New York, New York, United States • On-site
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Own and advance the backend platform, including the data layer, integration layer for ERPs and payment processors, and AI execution environment. Ensure system reliability, security compliance, and the creation of scalable data pipelines for financial reconciliation.
Requires 4+ years of experience building and operating production backend systems with expertise in Typescript, Node, and Postgres. Candidates must be 'T-Shaped' engineers capable of managing infrastructure and operating in an AI-native environment.
Monk is an AI-native accounts receivable (AR) platform for B2B companies helping businesses get paid fast.
The AR stack is broken. Finance teams still chase payments with spreadsheets, reconcile AR in spreadsheets and use software that was built a decade ago. We think this is one of the largest, most ignored problems in B2B software. Trillions of dollars sit in outstanding invoices and the tools to unlock cashflow are stuck in the past. We are rebuilding Monk with AI, speed, and real craftsmanship.
We are already doing this for over $1B of accounts receivables. We are backed by leading investors and our founders bring significant experience to our company (more here).
We are early, the upside is enormous, and the hardest, but also the most rewarding work is ahead of us.
We're looking for a backend engineer to join us in person in Flatiron, NYC. You'll own the foundational systems everything else runs on: the data layer, the integrations, the AI runtime environment, and the infrastructure that has to be right every time money moves between businesses. We care about one thing: whether you can build systems that scale, stay up, and get faster as we grow.
Build core agent infrastructure at the applied layer: Design and ship the system that powers Monk’s agentic products
Own systems end to end: Build and maintain enduring financial architecture designed for agents
Build for the future: Manage, evolve, and extend your architecture and design to thousands of use cases that slow down payment in B2B
Own reliability at scale: Build and own monitoring, alerting, and incident response to get our customers paid fast
Ship fast: Land changes that help customers daily and default to action
4+ years building and operating production backend systems. You've built them, broken them, and scaled them yourself
A T-shaped engineer: deep in at least one area, broad enough to push the rest forward, and you do it in TypeScript/Node
Strong with our stack and able to go deep where it counts: Postgres, AWS, data pipelines, observability
You understand the tradeoffs you're making and you know when something has to be rebuilt instead of patched
AI-native, not AI-dependent. You move fast with it and you know exactly when not to use it
An owner. You don't file tickets about infrastructure problems. You fix them, and then make sure they can't happen again
Excited to build in person in Flatiron, NYC
Have experience with fintech or payments data systems
Have built backend infrastructure for LLM or agent products
Were a founding or early backend hire
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
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
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
Category defining companies are built with exceptional people. Our team is one of the products we're shipping = come help build it.
Based on 4786 listings with disclosed salaries, most engineering jobs in New York, NY pay between $85k–$225k per year. Individual offers vary with seniority, company size, and specialization.
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