Revenue FP&A Director

Sonar•Austin, TX
•Onsite

About The Position

Sonar is seeking a Revenue Finance Director to join its FP&A team and own how the company forecasts, plans, and prices revenue. The role drives forecast accuracy, partners cross-functionally to optimize revenue, and provides executives with clear recommendations on revenue strategy. It is a hands-on position for a self-starter who challenges assumptions with data, builds solutions, and leads an AI-first approach to FP&A. The Director owns end-to-end revenue forecasting across bookings, billings, and revenue; leads annual and long-range planning; evaluates pricing and packaging; and develops deal guardrails and approval frameworks. The role also builds and ships AI-enabled finance automations, establishes controls for their use, and works with finance and revenue teams to maintain data integrity and streamline reporting. The position follows Sonar's in-office culture, with Mondays, Tuesdays, and Thursdays designated as anchor days. Candidates are expected to be based in the location where the role is posted; relocation support may be available for the right candidate.

Requirements

  • At least 10 years of progressive finance experience in FP&A, revenue finance, or commercial and strategic finance, including significant experience in high-growth SaaS or technology.
  • Experience owning a revenue, bookings, or ARR forecast at scale, with a proven record of improving forecast accuracy and working knowledge of revenue accounting.
  • A history of executive-adopted pricing, packaging, or commercial recommendations grounded in margin, discounting, and price-realization analysis.
  • Experience with consumption-based models.
  • Demonstrated ability to influence senior leaders with data, maintain a position under pushback, and change how others work.
  • Hands-on experience building and shipping AI automations in finance workflows, using tools such as Claude or ChatGPT; experience must extend beyond prompting for email polishing.
  • Expert-level driver-based financial modeling and ability to clearly communicate complex recommendations to executives, the Board, and investors.
  • Self-starter and builder who takes ownership, moves quickly, and personally handles detailed work.
  • Bachelor's degree in Finance, Economics, Accounting, or a related field.

Nice To Haves

  • MBA, or experience in investment banking, consulting, or strategic finance.
  • 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.

Responsibilities

  • Own Sonar's end-to-end revenue forecast for bookings, billings, and revenue across monthly and quarter-end cycles, explaining expected results and forecast changes.
  • Track forecast misses by segment, motion, and root cause, and conduct retrospectives on material variances.
  • Challenge cross-functional assumptions about conversion, renewals, and timing, and drive improvements to forecast reliability.
  • Build driver-based models using leading indicators such as pipeline, usage, renewals, and pricing, incorporating ASC 606 treatment and consumption-based revenue models.
  • Lead annual and long-range revenue planning and translate targets across the P&L.
  • Develop executive-level revenue strategy recommendations and prepare Board, investor, and ELT materials.
  • Evaluate pricing and packaging changes, including list prices, discounting, renewal uplifts, and plan mix, and quantify their effects on revenue and margin.
  • Partner with Deal Desk, Pricing, and R&D Finance to analyze margins, pricing profiles, and deal structures.
  • Build deal guardrails and approval frameworks that balance growth, margin, and revenue recognition; advise on non-standard deals and conduct post-close analysis.
  • Identify and build AI-enabled workflows and automations for processes such as forecast roll-ups, variance analysis, anomaly detection, deal and pricing analytics, and agentic workflows.
  • Define where AI should automate, where human judgment is required, and how outputs are validated with appropriate controls and data security.
  • Stay hands-on with data and models; identify problems and opportunities, propose solutions, and drive them to completion.
  • Partner with Controllership, Accounting, Finance Ops, RevOps, and Deal Desk to ensure data integrity and accurate, streamlined reporting.

Benefits

  • Relocation support may be available for the right candidate.
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