About the RoleCorporate FP&A sits at the center of Abnormal AI's financial engine, turning granular financial data into the forecasts, board materials, and executive insight that drive decisions across the company. As Senior Manager, Corporate Finance, you'll own the annual operating plan, forecast cadence, and monthly CFO reporting package, and serve as the connective tissue between FP&A, Accounting, and senior leadership - translating complex financial dynamics into clear, decision-ready narratives. You'll manage and grow a small team of corporate finance analysts, and be a driving force in modernizing how the team plans, reports, and operates, with a strong bias toward AI-native workflows. This role also plays a meaningful part in Abnormal's public-company readiness work. You'll thrive here if you move fluidly between granular financial detail and executive-level synthesis, and if you like building structure rather than inheriting it.
What You'll Do- Own the annual plan and forecast cadence across the P&L, balance sheet, and cash flow - with particular ownership of revenue and free cash flow forecasting - using driver-based models to continuously improve accuracy.
- Build scenario and sensitivity modeling into a core FP&A capability that informs key leadership decisions.
- Oversee the team's ownership of the monthly CFO review package - budget vs actual variance analysis, forecast, and supporting analytics - partnering with Accounting on the close, while staying hands-on in building Board and investor reporting materials.
- Turn financial and operating data into clear, actionable insight for leadership through recurring reporting, dashboards, and ad hoc analysis.
- Oversee the team's ownership of Pigment systems, and direct AI-enabled automation and process/controls improvement across FP&A.
- Support SOX controls, audit committee materials, and other IPO-readiness work, partnering with Legal, Accounting, Investor Relations, and the CFO's office.
- Partner with Accounting, Tax, and People on specialized, cross-functional forecast items such as equity, payroll taxes, and benefits.
- Manage and grow a team of corporate finance analysts/managers, including coaching and career development.
Must Haves- Bachelor's degree in Finance, Accounting, Economics, or a related field; MBA or CPA a plus.
- 6-9+ years of progressive FP&A or corporate finance experience, ideally within high-growth SaaS or cybersecurity, including experience managing or developing direct reports.
- Demonstrated track record of improving forecast accuracy and building driver-based financial models from scratch.
- Highly analytical, with strong fluency in modern FP&A systems (Pigment, Snowflake, or similar) - comfortable using data to independently uncover key insights.
- Strong command of the three financial statements and core SaaS operating metrics (e.g., gross margin, ARR, contribution margin).
- Direct experience supporting public-company readiness workstreams (e.g., SOX controls, audit committee/board materials).
- Proven ability to move fluidly between granular financial detail and executive-level synthesis, with excellent written and verbal communication skills.
- High affinity for AI tools, with a track record of leading automation or efficiency initiatives within FP&A.
Nice to Have- Experience at a company through an actual IPO, or in its first year as a newly public company.
- Familiarity with NetSuite, Maxio, Workday, or Sigma.
- Experience with AI-assisted forecasting/reporting tools or agentic workflows (e.g., Claude, Pigment AI Analyst).
- Prior experience in investment banking, strategy consulting, or equity research.
- Cybersecurity or infrastructure software industry background.
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Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
Base salary range:
$160,700-$231,000 USD
AI and our hiring processAbnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person.
