225K–250K USD / year
FP&A AI Architect
AIHybrid — San Francisco, CA
Published on 2026-10-19
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
Design and lead the architecture for AI-enabled FP&A planning, forecasting, and reporting. Build trusted, auditable systems that automate analysis and improve finance decision-making in partnership with the CFO organization and technical teams.
About the company
Gusto is a digital platform that provides payroll, benefits, and human resource management solutions for small to medium-sized businesses. The company focuses on simplifying HR processes and ensuring compliance, while also offering tools for employee engagement and retirement planning.
The team
Enterprise AIT team, working with Finance, Business Ops, IT, Security, and the CFO organization.
Stack
LLMsAnthropicOpenAIGeminiMCPPythonSQLSnowflake
What you'll do
- Define the multi-year architecture and roadmap for AI-enabled finance planning and reporting.
- Build driver-based, ML-assisted forecasts for revenue, headcount, operating expenses, and cash.
- Automate variance analysis, scenario modeling, finance narratives, and ad hoc data questions.
- Establish governed finance data models, traceability, audit trails, and human review controls.
- Lead build-versus-buy decisions for planning platforms, LLM providers, and orchestration tools.
- Mentor analysts and engineers and promote AI adoption across Finance.
- Measure impact through forecast accuracy, cycle time, analyst capacity, and decision latency.
What we're looking for
- 10+ years in FP&A, corporate finance, finance systems, data science, or finance engineering, including 3+ years leading AI/ML or advanced finance automation.
- Strong FP&A fundamentals, including driver-based modeling, operating plans, rolling forecasts, SaaS or fintech metrics, and variance analysis.
- Hands-on experience with LLMs, agentic systems, classical forecasting, and model evaluation.
- Proficiency in SQL, Python, modern data stacks, and BI tools.
- Experience with enterprise planning platforms and ERP or general-ledger systems.
- Track record shipping production-grade solutions subject to SOX, governance, and security requirements.
- Able to explain model behavior to finance leaders and system design to engineers.
Nice to have
- Payroll, HR technology, 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.
Benefits
- Equity in the form of RSUs.