# FP&A AI Architect

**Company**: Gusto
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $225,000-$250,000 /yr
**Category**: Finance
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/gusto/jobs/8282088?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_fe5565ca-99c

## Description

Gusto's Finance team is rebuilding planning, forecasting, and analysis with AI at the center. As Staff FP&A AI Architect, you'll design and lead the technical and process architecture that turns FP&A from a manual, spreadsheet-driven cycle into an automated, insight-generating function.

Responsibilities:

- Set the strategy: Define the multi-year architecture and roadmap for AI-enabled planning, forecasting, and reporting, prioritizing use cases by value, feasibility, and risk.

- Build forecasting systems: Architect driver-based, ML-assisted forecasts for revenue, headcount, opex, and cash, combining statistical models with LLM workflows and benchmarking against human forecasts.

- Automate analysis: Build agentic workflows for variance commentary, flux analysis, scenario modeling, board and QBR narratives, and ad-hoc 'ask the numbers' questions.

- Own the finance data foundation: Work with Data Engineering on governed data models connecting the GL, billing, CRM, HRIS, and planning tools, so AI outputs are traceable and auditable.

- Embed controls and trust: Establish evals, human-in-the-loop checkpoints, lineage, and audit trails that meet SOX, security, and privacy requirements.

- Evaluate and select tools: Drive build-vs-buy decisions across planning platforms, LLM providers, and orchestration frameworks.

- Lead through influence: Mentor analysts and engineers, create reusable patterns and templates, and drive AI adoption across Finance.

- Measure impact: Report on cycle-time reduction, forecast accuracy, analyst capacity freed, and decision latency.

Requirements:

- 10+ years in FP&A, corporate finance, finance systems, data science, or finance engineering, including 3+ years designing or leading AI/ML or advanced automation for finance

- Strong FP&A fundamentals: driver-based modeling, operating plans, rolling forecasts, SaaS or fintech metrics, variance analysis

- Hands-on experience with LLMs and agentic systems (prompting, RAG, tool use, evals) and classical forecasting (time series, regression, ensembles)

- Proficiency in SQL and Python, a modern data stack (e.g., Snowflake, Databricks, dbt), and BI tools

- Experience with enterprise planning platforms and ERP/GL systems

- Track record shipping production-grade solutions under SOX, data governance, and security review

- Exceptional communication: able to explain model behavior to a CFO and system design to an engineer

Nice to have:

- Payroll, HR tech, fintech, or SaaS finance experience

- Experience building internal tools with Engineering

- Familiarity with MCP-style integrations and AI governance frameworks

- CPA, CFA, or an advanced quantitative degree

## Skills

### Required
- AI
- Machine Learning
- FP&A
- finance
- data science
- SQL
- Python
- Snowflake
- Databricks
- dbt
- BI tools

### Nice to have
- Payroll
- HR tech
- fintech
- SaaS finance
- MCP-style integrations
- AI governance frameworks
- CPA
- CFA

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/gusto/jobs/8282088?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)