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About the Role

Maximor is building the AI operating system for the CFO office, creating Audit-Ready AI Agents that automate core finance processes. The goal is for AI to handle the bulk of the work, allowing finance teams to focus on exceptions. Our unique Unified Finance Context and AI Agents provide financial understanding, reasoning, and explainability.

Responsibilities

• Own real surface area within a finance domain end-to-end from your first month, including context, prompts, tools, evals, and guardrails.
• Scope and ship your own work by the end of your first quarter.
• Sit with controllers, accountants, and CFOs to understand their workflows and build agent systems to replace them.
• Build AI agents that finance teams and auditors can trust through verification, guardrails, observability, and evaluation systems.
• Engineer financial context over transactions, ledgers, contracts, policies, and historical decisions.
• Ingest, normalize, and reconcile data from various enterprise systems (ERPs, banks, payroll, etc.).
• Build agents that improve over time through explainability, uncertainty escalation, and human corrections.
• Orchestrate durable AI workflows across stateful enterprise systems.
• Implement safe and traceable write-back operations to systems of record.

Requirements

• Finishing a bachelor's or master's degree, or graduated within the past year.
• Computer science, machine learning, or AI strongly preferred; adjacent quantitative degrees welcome if the work backs it up.
• At least one substantial software engineering or AI engineering internship.
• Early-stage and AI-native startup experience is a plus.
• Hands-on experience building with AI agents (internship, research, coursework, or side project).
• Real fluency with coding agents (Claude Code, Cursor, or equivalent).
• Strong fundamentals in Python; experience in C++, Java, Go, or Rust is also considered.
• Ability to walk through a substantial project (side project, research prototype, open-source contribution, hackathon build) in depth.
• Ability to understand a finance workflow and translate it into software is the single most important skill.
• Think like an owner: scope your own work, think from the customer's perspective, own decisions, and drive outcomes.
• Solve problems end to end across LLM pipeline, infrastructure, backend, and UX.
• Care about getting it right and digging deep to understand root causes.
• Operate AI at two levels: use coding agents fluently and build product agents (prompt/context design, tool use, evals).
• Communicate clearly, ask good questions, share progress proactively, and state when stuck early.

Skills

• AI Agents
• Prompt Engineering
• Context Engineering
• Data Ingestion
• Data Normalization
• Data Reconciliation
• LLM Pipeline
• Infrastructure
• Backend Development
• UX
• Python
• Claude Code
• Cursor

Location

• New York City

Work Type

• In-person
• Full-time

Experience Level

• New grad
• Early-stage startup experience

Education Level

• Bachelor's degree
• Master's degree

Salary/Compensations

• Competitive pay
• Meaningful early-stage equity

Benefits

• Full medical, dental, and vision coverage for employees and dependents
• 401(k) match
• Meals
• Stocked NYC office
• Support for OPT visa status
• Support for longer-term visa status

About the Company

• Maximor is building the AI operating system for the CFO office.
• Our Audit-Ready AI Agents connect to a company's existing finance stack to automate order-to-cash, record-to-report, treasury management, financial reporting, and audit readiness.
• We have raised $9M led by Foundation Capital, with participation from BoldCap, Gaia Ventures, Aravind Srinivas (CEO of Perplexity), and finance leaders from major companies.
• We are defining a new category: Audit-Ready AI for Finance.