Job Overview
Location
New York City
Job Type
Full-time
Category
Software Engineering
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Own and ship entire accounting modules including close, revenue, cash, reporting, accruals, or fixed assets — from backend services and agent workflows to accountant-facing interfaces, with no platform team or product manager handing off specs.
- • Design and implement sub-ledger primitives that are flexible enough to model any accounting workflow while maintaining rigid audit trails for regulatory compliance.
- • Build an agent platform that enables pods to ship audit-ready agents in days, not months, by eliminating redundant work across teams on evaluation, guardrails, and observability.
- • Encode auditability as a core system property rather than an afterthought or manual checklist item that engineers must remember to add.
- • Design a close orchestration layer that accommodates 1,000+ unique close calendars while ensuring auditors can trust the system’s consistency and traceability.
- • Define and operationalize engineering excellence for non-deterministic systems in regulated financial environments, making it teachable and repeatable for new engineers.
- • Anticipate long-term architectural consequences; ensure decisions made in 2026 do not create technical debt or constraints that trap the company in 2029.
- • Fluently operate AI coding agents like Claude and Cursor as a second cortex — use them daily to write, debug, and ship production code, selecting the right agent for each task.
- • Work end-to-end across the stack: LLM pipelines, infrastructure, backend services, and UX — no distinction between frontend and backend; product judgment and system design drive delivery.
- • Collaborate directly with finance professionals (controllers, accountants) to observe workflows, uncover unspoken edge cases, and translate real-world accounting processes into code within hours.
- • Operate as a founder within your pod: scope your own work, own decisions, think about customer impact, and close the loop from problem identification to shipped feature.
- • Prioritize 100% correctness over 80% solutions; when systems break, trace to root cause and implement durable fixes.
- • Raise the ceiling for your pod of 2–3 engineers by being a generalist within the pod and a specialist across the company — holding entire modules in your head and shipping them independently.
- • Ship production AI agents, not demos — integrate them into live financial workflows with real data, monitoring, and guardrails.
- • Work in-person in New York City; collaboration and compounding knowledge require physical co-location.
🎯 Requirements
- • 5+ years of software engineering experience, primarily in backend or infrastructure roles
- • Strong backend proficiency in Python, Go, Java, Rust, or similar modern languages; willingness to ramp quickly on Python if coming from another stack
- • Proven experience building hard backend systems such as distributed pipelines, transactional or ledger systems, integration platforms, or workflow engines
- • Experience working at an early-stage startup (pre-seed through Series B)
🏖️ Benefits
- • Top-of-market compensation benchmarked to top NYC startups
- • Meaningful early-stage equity in a company already shipping to enterprise customers
- • Full medical, dental, and vision coverage
- • 401(k) with match, flexible PTO, and paid sick leave
- • Corporate card for meals, stocked office, and commuter benefits
Skills & Technologies
About Maximor
Maximor delivers an advanced AI automation platform, featuring Audit-Ready Agents™ specifically engineered for accounting and finance operations. This platform empowers strategic CFOs and their teams by automating complex processes such as revenue recognition, cash management, financial close, and board-ready reporting, complete with built-in audit trails. Maximor's solution is designed to unlock significant operational capacity, reduce risk, and provide unparalleled visibility across systems, ensuring businesses maintain compliance and investor confidence. By reducing repetitive tasks by up to 90% and audit exceptions by 75%, Maximor enables finance professionals to focus on strategic impact. The company recently secured $9 million in funding to further its mission of bringing trustworthy AI to the finance sector.
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