Apply on Employer Site

Symbolica AI · 3 weeks ago

Finance Lead

San Francisco, US

Full-time

Onsite

Mid, Senior Level

4+ years exp

Symbolica is an AI research lab focused on applying category theory to enhance logical reasoning in machines. The Finance Lead will manage the FP&A engine, oversee financial planning and analysis, and collaborate with executives to create actionable insights and metrics that guide business decisions.

Artificial Intelligence (AI)Software

Responsibilities

Build and maintain the operating model: SaaS bookings and revenue, usage based GMV style volume, churn and retention, pipeline conversion, and runway with scenario planning

Run the planning rhythm: annual plan, quarterly reforecast, and monthly performance reviews with clear variance analysis and action-oriented outputs

Own KPI definitions and reporting: establish consistent metrics, partner with product and data to connect usage and adoption to financial results, and publish dashboards and updates

Support GTM analytics: pricing and packaging analysis, unit economics, sales capacity planning, quota and pipeline health, and experiment measurement

Produce leadership and investor materials: concise memos, board deck inputs, and ad hoc analysis for major deals, partnerships, and spend decisions

Qualification

FP&AFinancial modelingSaaS dynamicsScenario planningKPI reportingOwnershipCollaboration skills

Required

4 to 9 years in FP&A, strategic finance, or analytics at a high-growth tech company, with meaningful ownership of forecasts and planning

VC/PE/IB background acceptable

Strong modeling skills and good taste in assumptions: driver-based forecasting, scenario work, and the ability to explain results clearly to non-finance leaders

Solid understanding of SaaS and consumption dynamics: ARR and revenue timing, cohorts, churn and retention, and margin drivers, plus comfort forecasting throughput

High ownership and low ego: you move fast, stay precise, and improve systems and process without creating bureaucracy

You thrive in a founder-led environment and can partner tightly across product, engineering, and go-to-market teams