Job Overview
Location
New York City
Job Type
Full-time
Category
Software Engineering
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Design and build the foundational platform layer that enables every engineering pod to ship reliable, audit-ready AI agents for finance automation, focusing on reconciliation, journal entries, contract parsing, revenue recognition, and month-end close.
- • Create sub-ledger primitives that are flexible enough to model any accounting workflow while enforcing rigid audit trails as an inherent system property, not an afterthought.
- • Architect and implement a close orchestration layer that accommodates 1,000+ unique close calendars while ensuring auditors can trust the system’s outputs without manual verification.
- • Encode auditability, observability, and guardrails directly into the agent platform so that each pod can ship production-ready agents in days, not months, without re-deriving core compliance logic.
- • Write production-grade code for the most complex reconciliation and transactional logic, including edge cases in multi-entity prepaid amortization, accruals, and intercompany eliminations.
- • Operate fluently with AI agent tooling (Claude, Cursor, internal tooling) as a second cortex — using AI to accelerate development, testing, and debugging of financial workflows.
- • Ship full-stack solutions when required, including backend services in Python, frontend interfaces in TypeScript, and LLM pipeline integrations — with product judgment driving technical decisions.
- • Collaborate directly with finance teams and controllers to observe accounting workflows in real time, translating nuanced manual processes into automated, scalable systems.
- • Own architectural decisions that must remain viable and secure for 3–5 years, ensuring systems built in 2026 do not create technical debt or compliance risks in 2029.
- • Raise the ceiling for every engineering pod by establishing patterns, abstractions, and standards that multiply team velocity without increasing coordination overhead.
- • Solve problems end-to-end across the entire stack: from LLM prompts and eval frameworks to infrastructure, data pipelines, and user-facing UX components.
- • Prioritize correctness over speed; when systems break, trace to root cause and implement permanent fixes, not workarounds — especially in regulated financial contexts.
- • Maintain hands-on coding as a Staff Engineer; leadership is defined by depth of impact, not managerial span — you write the trickiest code yourself.
- • Foster a culture of engineering excellence in non-deterministic, regulated environments by making best practices teachable and repeatable for new engineers.
- • Work in-person in New York City; the team’s velocity and trust compound through daily co-location with finance stakeholders and engineering peers.
🎯 Requirements
- • 8+ years of software engineering experience with deep specialization in distributed systems, ledger/transactional systems, data infrastructure, integration platforms, or AI/agent platforms.
- • Strong backend expertise in a modern language such as Python, Go, Java, or Rust; proficiency in Python required, with ability to ship TypeScript when needed.
- • Proven track record of building load-bearing systems that multiple teams depend on, with architectural decisions that compounded value over multiple years.
- • 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; 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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