Finance AI Automation Co-op: Build Efficient FinOps

Groma; Boston (MA); On-site; USD 25,000 - 30,000; Full time

Benefits offered by this job

Fully covered commuter passes for bus,

Paid time off policy, 4 holidays

In-office gym and roofdeck

Comprehensive catering, snacks, and BE

Job summary

Groma, a Boston-based real estate tech company, seeks a finance co-op to automate tasks with AI using Claude, ChatGPT, Python, SQL, and our platforms. You’ll learn our processes, identify improvement opportunities, and help design practical solutions.

As the team’s in‑house AI expert, you’ll connect systems, build auditable workflows with human review steps, support AP/AR, analyze data for trends, and document everything so a non‑technical teammate can run it.

Qualifications

• Pursuing a degree in CS, Data Science, AI, Systems Engineering, MIS, Business Analytics, Fintech, or Finance with technical coursework.
• Have built something real with LLM tools (share an example in your application).

Responsibilities

• Automate recurring finance tasks with AI workflows (Claude, ChatGPT, and their APIs)
• Map how finance work gets done and prioritize what's worth automating
• Connect financial platforms, databases, APIs, and other systems to create more efficient workflows
• Build every automation with a human review step and audit trail
• Serve as the team's in-house AI expert and raise everyone's fluency
• Document every system so a non-technical teammate can run it
• Support AP and AR directly to learn the domain firsthand
• Analyze financial data for trends and exceptions; support reporting and auditing
• Take on special projects where a technical approach beats a manual one

Skills

AI workflow automation

Python

SQL

REST APIs

Google Sheets

Documentation

Independent work

Education

CS/Data Science/AI related degree

Tools

Claude

ChatGPT

Job description

Groma, a Boston-based real estate tech company, seeks a finance co-op to automate tasks with AI using Claude, ChatGPT, Python, SQL, and our platforms. You’ll learn our processes, identify improvement opportunities, and help design practical solutions.

As the team’s in‑house AI expert, you’ll connect systems, build auditable workflows with human review steps, support AP/AR, analyze data for trends, and document everything so a non‑technical teammate can run it.