Sonar
Revenue FP&A Director
Austin, Texas +1 · On-site · Director · Full-time · Posted Oct 29, 2026
- Location
- Austin, Texas
San Mateo, CA - Experience
- 10+ years of progressive finance experience; significant time in high-growth SaaS or tech.
- Education
- Bachelor’s degree in Finance, Economics, Accounting, or a related field.
About the job
Own Sonar’s revenue forecasting, planning, pricing analysis, and AI-enabled FP&A workflows, providing recommendations to executives and supporting revenue strategy.
What you'll do
- Manage and improve forecasts for bookings, billings, and revenue; lead annual and long-range revenue planning and analyze forecast variances.
- Evaluate pricing, packaging, margins, and deal structures; develop deal guardrails and advise on non-standard deals.
- Build AI-enabled finance automations and partner across finance and commercial teams to improve analysis, data integrity, and reporting.
What they ask for
- 10+ years of progressive finance experience, including significant time in high-growth SaaS or tech.
- Experience owning a revenue, bookings, or ARR forecast at scale, with a record of improving accuracy and working knowledge of revenue accounting; experience with consumption based models.
- Executive-adopted pricing, packaging, or commercial recommendations grounded in margin, discounting, and price realization analysis.
- Hands-on AI experience building and shipping finance workflow automations; expert-level driver-based modeling; bachelor’s degree in Finance, Economics, Accounting, or a related field.
Nice to have
- MBA, or investment banking, consulting, or strategic finance experience; experience with various pricing models.
- Hands-on experience with enterprise planning and finance systems such as NetSuite, Pigment, or Salesforce; experience building AI agents or workflows such as Claude Cowork.
Tools
ASC 606, Claude, ChatGPT, NetSuite, Pigment, Salesforce, Claude Cowork
AI focus
Build and ship AI-enabled FP&A automations, including forecast roll-ups, variance analysis, anomaly detection, deal and pricing analytics, and agentic workflows; define human oversight, validation, controls, and data security.
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