Maximor AI — Staff Software Engineer

Type: Full-time | On-site | New York City, NY Compensation: $200,000–$250,000 + 0.1%–0.35% equity Hiring count: 1 Visa sponsorship: None available Reports to: Founding engineering team

Maximor is building the AI operating system for the CFO office — deploying audit-ready AI agents that connect to a company's existing finance stack (ERPs, banks, billing, payroll, CRM, contracts, spreadsheets, email, Slack) to automate the work behind close, revenue recognition, reporting, cash management, and audit readiness. The aim is for finance teams to review exceptions while AI handles the rest, powered by a Unified Finance Context layer capturing transactions, policies, contracts, historical decisions, and accounting judgment. Maximor has raised $9M led by Foundation Capital, alongside Aravind Srinivas (CEO of Perplexity) and finance leaders from Ramp, Gusto, and the Big Four.

Founded: 2023 | Team size: 1–10 (Seed) | Total funding: $9M Industry: AI Tools Website: maximor.ai Office: New York City, NY

• Foundational platform seat: Own the platform layer every engineering pod builds on — agent harness, context systems, orchestration, verification, observability, data infrastructure, and developer tooling.
• High-signal backing: $9M seed led by Foundation Capital, with the CEO of Perplexity and finance leaders from Ramp, Gusto, and the Big Four behind the company.
• Depth over span: Staff here means depth of impact, not headcount — everyone keeps writing code, and this seat multiplies the output of the whole team.

Not provided on the role page.

Maximor is hiring a Staff Software Engineer to own the platform layer every engineering pod depends on. This is a high-ownership, deeply technical IC role: identify the bottlenecks limiting the company, work directly with engineers, accountants, and customers, and build the abstractions that make hard problems simple.

• →Own the agent harness the entire company builds on — defining abstractions for context, verification, guardrails, observability, and developer tooling so every pod can ship audit-grade AI agents on shared rails.
• →Design and build the financial context graph (ledger state, dimensions, policies, contracts, precedent, entitlements), keeping it coherent, scalable, and multi-tenant safe.
• →Define the verification, auditability, evals, and observability standards that determine whether AI output is safe for a customer's books — and enforce them by construction.
• →Architect the financial data platform: ingestion, normalization, reconciliation, and the canonical ledger model that turns data from ERPs, banks, billing, payroll, CRMs, and email into a trustworthy source of truth.
• →Design the durable execution layer for long-running AI workflows and the exactly-once, audit-ready write-back path to ERPs and systems of record.
• →Build abstractions and architectural patterns that make every pod faster, raising engineering standards across the company.

Tech stack: Python (primary); TypeScript on the frontend when needed. Willingness to ramp fast from Go/Java/Rust accepted.

• 6+ years backend and platform engineering experience
• Distributed systems, data infrastructure, or AI/agent platform depth
• Platform-layer ownership: built abstractions multiple teams depended on
• Early-stage startup experience (pre-seed to Series B)
• NYC in-person, 6 days per week
• Fintech, ERP, or financial-systems background
• Startup hours, 6 days a week, 9am to 7pm or 8pm

• Staff or Principal IC at a high-growth startup
• Fintech, ERP, ledger, or compliance system background
• Designed and operated AI agent platforms in production
• Operates AI coding agents fluently
• Built under correctness-critical or regulatory constraints

• Frontend-heavy background with no real backend depth
• Only big-company engineering with no startup exposure
• Generic resumes and shallow project descriptions
• Repeated short tenures without clear context

• Salary — $200,000–$250,000
• Equity — 0.1%–0.35%
• On-site policy — NYC in-person, 6 days per week; startup hours (9am–7pm/8pm)
• Visa sponsorship — None available
• Employment type — Full-time
• Location — New York City, NY

Not provided on the role page.

Stage 1 — Pending Approval — Candidates awaiting initial approval. Stage 2 — Founding engineer screen Stage 3 — Take-home project (5 to 8 hours) Stage 4 — Debrief on the take-home Stage 5 — Onsite with engineers and founders (5 to 6 hours) Stage 6 — Offer Extended Stage 7 — Candidate Hired — Candidate accepts and starts.