Partner with stakeholders across Finance and adjacent corporate functions to understand recurring workflows and surface pain points — developing enough working knowledge of the business to engage credibly, recognize what matters in a process, and identify candidates for AI-assisted automation or augmentation.
Translate stakeholder problems into working solutions using AI development tools — prompts, scripts, and lightweight applications — with a bias toward shipping over experimenting.
Build and iterate on AI-powered workflows that reduce manual effort in repeatable processes across Finance and other corporate functions, with the explicit goal of delivering measurable business outcomes.
Develop sound prompt-engineering practice: system prompts, chained reasoning, output validation, and iteration beyond default tool configurations.
Apply a cost-conscious mindset to AI usage — understanding token economics, optimizing API consumption, and reporting on per-use-case spend.
Apply a security-conscious mindset to AI usage — proper handling of API keys and secrets, awareness of data exposure risks, and adherence to internal security practices.
Document workflows, decisions, and reusable patterns so the work compounds across the AI Transformation function rather than living in one person’s head.
Support ad-hoc analytical and data work in Excel, Python, or SQL as needed to validate solutions and quantify impact.
Requirements
Currently enrolled in a Bachelor’s or Master’s degree program, or recent graduate, in Business, Finance, Information Systems, Data Analytics, Computer Science, or a related field.
Strong written and verbal communication, with the ability to interview non-technical stakeholders, extract requirements, and translate them into a clear problem statement.
Demonstrated experience using a generative AI tool (Claude, ChatGPT, Copilot, or equivalent) to build, automate, or ship something — a workflow, script, agent, or application — beyond casual chat use.
Strong Excel fluency, including formulas, pivots, and working with structured data.
Comfort working in a code editor (VS Code or equivalent) and reading existing scripts in Python, JavaScript, or similar.
Attention to detail and a track record of accurate, repeatable work.
Working business literacy — comfortable with concepts like revenue, margin, cost, and cycle time, with enough curiosity to learn the specifics of Finance and commercial workflows quickly.
Tech Stack
JavaScript
Python
SQL
Benefits
Unlimited Paid Days Off
Flexible work schedule
Depending on location, ability to take advantage of fitness centers
Health and leave benefits for Full-time associates.