Overview:
In this Corporate FP&A Lead role, you will own planning, forecasting, and performance storytelling as Factory enters a phase of hyper-growth. You partnering with leadership across GTM, Engineering, and Accounting to turn ambiguity into decision-ready insight, while building scalable, AI-native FP&A processes. You will shape the operating model, board materials, and key metrics that guide strategic choices. This is an opportunity to establish the foundations of a world-class finance function at a fast-moving, innovative company.
Responsibilities:
Own annual operating plan, long-range plan, quarterly forecasts, and monthly performance reviews Manage the corporate operating model for planning and strategic scenarios Lead monthly business reviews with leadership to surface risks and opportunities Prepare board and investor materials and craft clear executive narratives Collaborate with GTM, Engineering, Operations, and G&A on budgets, headcount, and COGS Model infrastructure and compute economics, pricing, and capital-allocation tradeoffs Define, track, and report KPIs for topline, unit economics, and efficiency Ensure accurate close and explain variances with Accounting Build scalable FP&A systems, dashboards, and automated reporting Develop AI-native workflows to automate recurring finance analysis
Key requirements:
8+ years in corporate FP&A, strategic finance, investment banking, or consulting Strong three-statement modeling, driver-based planning, and long-range planning skills Experience with annual planning, forecasting, budgeting, and board reporting cadences Experience preparing board and investor materials and translating data into executive narratives Strong analytical rigor and ability to assess opportunities, risks, and tradeoffs fluency in SaaS and usage-based financials (gross margin, COGS, opex, headcount) Comfort with ambiguity and a high-agency, fast-paced environment Ability to form a point of view and communicate recommendations to executives with low ego Interest in AI-assisted workflows and automation Bachelor's degree in Finance, Accounting, Economics, or related field, or equivalent practical experience analytical rigor executive communication problem solving under ambiguity three-statement modeling driver-based modeling long-range planning