Financial Planning & Analysis (FP&A) Professional – AI Evaluation Project

Truelancer AI; United States; Remote; USD 55,000 - 124,000; Full time

Job summary

Truelancer AI seeks a finance professional with 3+ years FP&A to support an AI evaluation project in the United States. You will build financial models, forecast, and prepare executive briefs using Google Sheets and Slides.

You will edit JSON files, manage GitHub PRs, and interact with AI tool harnesses like Antigravity or Claude Code, delivering rigorous, data-driven evaluations with clear feedback.

Qualifications

• 3+ years of professional FP&A or financial analysis experience.
• Strong hands-on experience in financial modelling, forecasting, and variance analysis.
• Experience with vendor spend and headcount reconciliation.
• Experience producing executive-level financial reports and presentations.
• Proficient with Google Workspace (Sheets, Slides, Docs).
• Comfortable using Google Sheets formulas and pivot tables.
• Experience editing JSON files and basic code/configuration changes.
• Familiarity with Git/GitHub, including PRs.
• Experience with AI agent tools/harnesses (Antigravity or Claude Code).
• Strong attention to detail and ability to follow structured instructions.

Responsibilities

• Work on financial modelling, forecasting and variance analysis.
• Perform vendor spend and headcount reconciliation.
• Prepare and review executive-level financial reports and presentations.
• Work extensively with Google Sheets and Google Slides to analyse and present financial information.
• Use formulas, create pivot tables and organise data in Google Sheets.
• Review and edit JSON files and make basic code/configuration changes.
• Commit changes using Git and work with GitHub pull requests.
• Operate AI agent/harness environments such as Antigravity or Claude Code.
• Follow structured evaluation guidelines and provide detailed, objective feedback on AI-generated outputs.

Skills

FP&A fundamentals

Financial modelling

Forecasting

Variance analysis

Vendor spend reconciliation

Headcount reconciliation

Executive reporting

Google Sheets

Pivot tables

JSON editing

Git / GitHub

AI tools usage

Attention to detail

Tools

Google Workspace

Antigravity

Claude Code

GitHub

Job description

Financial Planning & Analysis (FP&A) Professional – AI Evaluation Project

Location: United States
Engagement: Contract / Project-Based
Experience: 3+ years (preferably under 10 years)

About the Role

We are looking for Financial Planning & Analysis (FP&A) professionals based in the US to support an AI evaluation project. The ideal candidate should have strong hands-on experience in financial analysis and reporting, along with the ability to work comfortably with Google Workspace, basic code/configuration files, and AI-powered tools.

Key Responsibilities

• Work on financial modelling, forecasting and variance analysis.

• Perform vendor spend and headcount reconciliation.

• Prepare and review executive-level financial reports and presentations.

• Work extensively with Google Sheets and Google Slides to analyse and present financial information.

• Use formulas, create pivot tables and organise data in Google Sheets.

• Review and edit JSON files and make basic code/configuration changes.

• Commit changes using Git and work with GitHub pull requests.

• Operate AI agent/harness environments such as Antigravity or Claude Code.

• Follow structured evaluation guidelines and provide detailed, objective feedback on AI-generated outputs.

Required Qualifications & Skills

• 3+ years of professional experience in FP&A, financial analysis, corporate finance, or a closely related field.

• Strong hands-on experience with:

  • Financial modelling

  • Forecasting and variance analysis

  • Vendor spend reconciliation

  • Headcount reconciliation

  • Executive reporting

• Proficiency with Google Workspace, particularly:

  • Google Sheets

  • Google Slides

  • Google Docs

• Comfortable using Google Sheets formulas and pivot tables.

• Comfortable editing JSON files and making basic code/configuration changes.

• Familiarity with Git/GitHub, including committing changes and creating or reviewing pull requests.

• Comfortable working with AI agent tools/harnesses, such as Antigravity or Claude Code.

• Strong attention to detail and ability to follow structured instructions.

Preferred Qualifications

• Prior experience in LLM/AI evaluation.

• Experience with rubric design or evaluation frameworks.

• Background in management consulting.

• Experience working on AI, data, or technology-focused projects.

Ideal Candidate

The ideal candidate is a finance professional who combines strong FP&A fundamentals with technical adaptability. You should be comfortable working with financial data and executive reporting while also navigating spreadsheets, JSON files, GitHub, and AI-powered development/evaluation environments.