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Granica

Cloud storage PII detection with pay-per-use

Head of Finance - Strategic Finance & Corporate Development

Corporate Finance & FP&AConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Experience raising $50M–$100M or more for a high-growth startup.
  • Experience scaling a company from Series B/C through Series D and toward IPO readiness.
  • Deep expertise in performance-based compensation systems across technical and go-to-market teams.
  • Hands-on ownership of financial planning and analysis, pricing, forecasting, and model optimization.
  • Strong understanding of software-as-a-service and artificial intelligence infrastructure economics; usage-based experience is preferred.
  • Ability to operate with founder-level perspective, clarity, speed, and disciplined execution.

Responsibilities

  • Partner with the CEO to lead growth rounds of $50M–$100M or more across Series B and later stages.
  • Own the long-range financial model, capital strategy, and investor narrative.
  • Build and manage relationships with venture, growth, and crossover investors.
  • Lead diligence, investor questions and answers, and board-level financial communications.
  • Build forecasting, scenario modeling, pricing, and long-range planning systems.
  • Establish the operating discipline needed to scale through Series B, C, and D to an initial public offering.
  • Drive analysis across unit economics, go-to-market efficiency, research and development leverage, and infrastructure cost modeling.
  • Partner with Product, Engineering, and Sales to align economics with the roadmap and go-to-market scale.
  • Translate system-level and technical value into finance-relevant outcomes, including 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, return-on-investment models, and replacement economics versus incumbent providers.
  • Serve as an internal proxy for enterprise chief financial officer 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 go-to-market strategy.
  • Ensure the financial story withstands investor diligence and enterprise customer scrutiny.
  • Design and operationalize a company-wide performance-based compensation system (NPUs).
  • Build key performance indicator-driven models for engineering, research, go-to-market, and operations.
  • Own governance, payout logic, and transparency across total rewards.
  • 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.
  • Build audit, compliance, and governance frameworks for late-stage scale.
  • Drive S-1 readiness, revenue recognition compliance, and investor-grade reporting.
  • Hire and scale financial planning and analysis, accounting and controllership, revenue operations, and analytics teams.
  • Transition from outsourced support to a high-velocity internal team.

Desired Qualifications

  • Experience with usage-based software-as-a-service or artificial intelligence infrastructure economics.

About the Company

Granica

Cloud storage PII detection with pay-per-use

Granica.ai provides data security and AI services focused on identifying sensitive information, like PII, in cloud storage such as S3 and Google Cloud Storage. Its Byte Precise Detection technology achieves high precision and recall for detecting sensitive data while keeping costs low through a pay-per-use model. The product works by scanning data streams in cloud storage to locate sensitive bytes with statistical correlations, enabling scalable, autonomous operation across regions and clouds. Differentiators include pay-per-use pricing, scalable distributed systems, and a focus on lowering the cost and risk of using AI with privacy-aware data. The goal is to improve the signal-to-noise ratio of information to make AI safer, more affordable, and easier to use.

Company size
11-50
Company stage
Early VC
Total funding
$45M
Headquarters
Mountain View, CA
Founded
2019

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