---
title: 'Head of Finance — Strategic Finance & Corporate Development at Granica'
canonical: 'https://feeny.ai/job/head-of-finance-strategic-finance-corporate-development-granica-bay-area-77nfgrymjsbe'
type: 'job'
last_seen: '2026-09-15'
---

# Head of Finance — Strategic Finance & Corporate Development at Granica

- **Company:** Granica
- **Location:** Bay Area
- **Compensation:** $140k–$180k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-12-18
- **Last confirmed live:** 2026-09-15
- **Apply:** https://jobs.ashbyhq.com/granica/1dfa228f-2a2b-4a49-a88a-44b0d71e1a4d

## Job 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 enterprises to own their data, own the intelligence built on it, and scale both efficiently.

## About Granica

## Company Overview
- **One-liner**: Granica builds self-optimizing data infrastructure that compresses enterprise tabular data and enables structured intelligence for AI workloads.
- **Entity Type**: Private (Series A)
- **Headquarters**: Mountain View, California, United States
- **Founded**: 2023
- **Founders**: Not publicly available

## Core Business
- Primary industry/industries: AI Infrastructure, Data Compression, Research Services
- Target customers: Enterprise B2B — SaaS, consumer-internet, healthcare, and transportation companies with petabyte-scale data estates
- Mission or purpose statement: "Turning entropy to intelligence" — building a new class of data infrastructure that makes data estates efficient, reliable, and steerable for AI

## Products & Services
- **[Crunch]**: A self-optimizing, lossless compression layer for structured data (Iceberg, Delta, Trino, Spark, Snowflake, BigQuery, Databricks). Reduces storage by 45–80% and cuts cloud query spend by 15–35%. Deploys inside a customer's VPC with zero code changes and zero downtime. Continuously adapts to query patterns and data drift.
- **[EΣL (Extract, Signify, Load)]**: A reimagining of ETL. During "Signify," the system learns distributions, keys, and temporal drift while storing data, enabling real-time inference over a latent space without scanning cold blocks.
- **[Large Tabular Models]**: In-development systems that learn cross-column and relational structure to deliver trustworthy answers and automation with provenance and governance.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding — $45.0M (Series A, June 2023)
- **Lead Investor**: New Enterprise Associates (led the $45M Series A, with 6 total investors)
- **Notable Investors/Partners**: New Enterprise Associates, plus 5 other undisclosed institutional investors
- **Growth Signals**: 44.4% headcount growth year-over-year (35 employees), LinkedIn followers up 238.9% yearly, active 9 open job postings, deployments ranging from 1 PB to 100+ PB across dozens of enterprise customers

## Competitive Advantages
- **Entropy-aware compression**: Delivers state-of-the-art compression ratios (45–80% byte reduction) that are continuously adaptive to query patterns and data drift, unlike static compression schemes.
- **Zero disruption deployment**: Operates inside the customer's VPC with no code changes, no downtime, and day-zero activation — dashboards show savings before "coffee cools."
- **Research moat**: Foundational research published at NeurIPS 2024 (weighted empirical risk minimization with surrogate data) and ongoing work on statistical theory of data selection under weak supervision. Chief Scientist Andrea Montanari (Stanford) leads the research agenda.
- **Dual value proposition**: Simultaneously reduces storage costs (pennies per GB) and accelerates query latency (petabytes queried like terabytes), while also optimizing LLM token utilization by up to 50%.

## Strategic Focus
- **Near-term**: Scale Crunch adoption across enterprise data lakes, with a focus on Snowflake, Databricks, and BigQuery ecosystems.
- **Medium-term**: Expand from compression into advanced subsampling and safe synthetic data generation, turning any lake into a "self-optimizing data factory."
- **Long-term**: Build Large Tabular Models that enable real-time reasoning over exabyte-scale data without scanning cold blocks — replacing traditional warehouse scans with inferred answers.

## Why Work Here
- **High-impact engineering culture**: 51% of the team is in technical roles, 18% in research — the company is deeply engineering-first and research-driven. Engineers work on foundational data systems for AI at petabyte scale.
- **Cutting-edge ML research**: Opportunity to work alongside a Chief Scientist from Stanford and publish at top venues (NeurIPS 2024). The company is advancing the state-of-the-art in data compression, subsampling, and synthetic data.
- **Remote/hybrid/office policy**: Headquarters in Mountain View, CA (287 Castro Street). Job postings indicate Mountain View is onsite. Also has offices in India (9 employees) and Austria (1 employee).
- **Notable perks**: "Pays for itself" ROI philosophy — the product delivers measurable cost savings to customers. The company is well-funded ($45M Series A) with strong investor backing.
- **Team composition**: Small, high-leverage team (35 people) with alumni from Meta, Salesforce, Dremio, StackRox, UiPath, and Stanford. Alums go on to LangChain, Google, Rippling, Uber, and Temporal Technologies.
- **Active hiring**: 9 open positions including Senior Software Engineer (Foundational Data Systems), Engineering Manager, Research Scientist (Tabular & Structured ML), Staff Software Engineer, and Research Product Manager.

## Sources
1. [granica.ai](https://www.granica.ai/)
2. [granica.ai/about](https://www.granica.ai/about)
3. [LinkedIn](https://www.linkedin.com/company/granica-ai)
4. [PitchBook](https://pitchbook.com/profiles/company/528930-82)
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/granica)

## Other roles at Granica

- [Research Product Manager – AI Systems](https://feeny.ai/job/research-product-manager-ai-systems-granica-bay-area-dmfh4stjx4qb) — Bay Area
- [Software Engineer, Infrastructure (Bengaluru)](https://feeny.ai/job/software-engineer-infrastructure-bengaluru-granica-bengaluru-aaatvrmdgeay) — Bengaluru, India
- [Senior Software Engineer — Distributed Compute / Spark Systems](https://feeny.ai/job/senior-software-engineer-distributed-compute-spark-systems-granica-bay-area-7k9r7jezn5t1) — Bay Area
- [Senior Software Engineer — Lakehouse Systems](https://feeny.ai/job/senior-software-engineer-lakehouse-systems-granica-bay-area-4apk25mqqrb0) — Bay Area
- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-granica-bay-area-3mqk9yj6gyez) — Bay Area
- [Enterprise Account Executive - Mountain View, onsite](https://feeny.ai/job/enterprise-account-executive-mountain-view-onsite-granica-bay-area-v1mcbe10jx24) — Bay Area
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- [Research Scientist – Diffusion Models](https://feeny.ai/job/research-scientist-diffusion-models-granica-bay-area-g1gcawhdzsns) — Bay Area
- [Research Scientist – Large Tabular Models (LTMs)](https://feeny.ai/job/research-scientist-large-tabular-models-ltms-granica-bay-area-2qa1k66qnecd) — Bay Area
- [People Operations Manager](https://feeny.ai/job/people-operations-manager-granica-bay-area-pt66p3r3ty66) — Bay Area