Head of Finance — Strategic Finance & Corporate Development
Granica
| Company | Granica |
| Category | Finance |
| Location | San Francisco Bay Area |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Director |
| Salary | USD 140k–180k |
| Posted | 18 Dec 2025 |
| Last verified | 11 Aug 2026 |
| Source | Employer ATS (ashby) |
Description
INTRODUCTION
As we scale toward a generational structured AI company, we’re hiring our Founding Head of Finance to lead Strategic Finance, Capital Markets, FP&A, and Company-Wide Performance Architecture.
This role is for a finance leader who wants to help build a generational company—designing the financial engine, raising capital, and creating a performance model tied directly to long-term value creation.
WHAT YOU’LL OWN
CAPITAL STRATEGY & FUNDRAISING
- Partner with the CEO to lead $50M–$100M+ growth rounds across Series B+.
- Own the long-range financial model, capital strategy, and investor narrative.
- Build and manage relationships with top-tier venture, growth, and crossover investors.
- Lead diligence, investor Q&A, and board-level financial communications.
STRATEGIC FINANCE, FP&A & SYSTEMS
- Build forecasting, scenario modeling, pricing, and long-range planning systems.
- Establish the operating discipline required to scale through Series B, C, D → IPO.
- Drive analysis across unit economics, GTM efficiency, R&D leverage, and infra cost modeling.
- Partner with Product, Engineering, and Sales to align economics with roadmap and GTM scale.
ENTERPRISE ECONOMICS
- Translate Granica’s system-level and technical value into CFO-relevant outcomes: infrastructure cost reduction, margin expansion, and multi-year cost predictability.
- Apply firsthand experience evaluating large-scale data, cloud, or infrastructure spend to pressure-test pricing, ROI models, and replacement economics versus incumbent providers.
- Act as an internal proxy for enterprise CFO decision-making, anticipating concerns around switching costs, procurement, risk, and budget governance.
- Inform early design-partner conversations and commercial structuring by embedding economic-buyer judgment into product, pricing, and GTM strategy.
- Ensure Granica’s financial story resonates under both investor diligence and enterprise customer scrutiny.
PERFORMANCE & COMPENSATION ARCHITECTURE
- Design and operationalize a company-wide performance-based compensation system (NPUs).
- Build KPI-driven models for engineering, research, GTM, and operations.
- Own governance, payout logic, and transparency across total rewards.
OPERATIONAL & STRATEGIC LEADERSHIP
- Lead planning cycles, resource allocation, and financial readiness.
- Build global reporting and financial systems that scale with enterprise demand.
- Partner with the CEO on board materials, product strategy, pricing, and market expansion.
RISK, CONTROLS & IPO READINESS
- Build audit, compliance, and governance frameworks for late-stage scale.
- Drive S-1 readiness, revenue recognition compliance, and investor-grade reporting.
TEAM BUILDING
- Hire and scale FP&A, accounting/controllership, revenue operations, and analytics.
- Transition from outsourced support to a high-velocity internal team.
WHAT YOU BRING
- Experience raising $50M–$100M+ for a high-growth startup.
- Scaled a company from Series B/C → Series D → IPO readiness.
- Deep expertise in performance-based compensation systems across technical and GTM teams.
- Hands-on ownership of FP&A, pricing, forecasting, and model optimization.
- Strong understanding of SaaS/AI infrastructure economics (usage-based preferred).
- Ability to operate at founder altitude with clarity, speed, and disciplined execution.
COMPENSATION & BENEFITS
- Competitive salary, meaningful equity, and performance bonus for top performers
- 401(k) with company match, comprehensive health coverage, and unlimited PTO
- Daily catered meals in our Mountain View office
- Support for research, publication, and conference participation
At Granica, you'll help build the next generation of enterprise AI—from exabyte-scale data infrastructure, Large Tabular Models (LTMs), and stateful AI agents. Together, we're creating the infrastructure that enables enter