---
title: 'Head of Marketing at Granica'
canonical: 'https://feeny.ai/job/head-of-marketing-granica-bay-area-qqxqkaea6dhw'
type: 'job'
last_seen: '2026-11-03'
---

# Head of Marketing at Granica

- **Company:** Granica
- **Location:** Bay Area
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-28
- **Last confirmed live:** 2026-11-03
- **Apply:** https://jobs.ashbyhq.com/granica/54d62874-d597-4113-bd88-9ed7977427ad

## Job description

Head of Marketing

Location: Mountain View, CA — Downtown HQ Employment Type: Full-time Work Model: On-site, 5 days/week Department: Go-to-Market

## About Granica

Granica helps enterprises run AI for less, from the data layer to agent execution. Granica is building across three related layers:

- Crunch reduces storage and processing costs across enterprise data infrastructure.
- Large Tabular Models unlock predictions and generated data from governed enterprise tables.
- Myelin reduces token and compute overhead for long-running AI agents.

Everything runs inside the customer’s perimeter, so enterprises retain control of their data and the intelligence it creates.

Granica has already processed hundreds of petabytes of enterprise data in production for customers including Snap, Pinterest, Lyft, and ShareChat.

Our research organization is led by Stanford Professor Andrea Montanari.

We operate at the intersection of data infrastructure, AI systems, and applied research, building the efficiency and intelligence layer for enterprise AI.

## The Role

We’re looking for Granica’s first marketing leader to build the function from the ground up. You’ll define how Granica shows up in the market — from company and product positioning to customer proof, sales enablement, thought leadership, and pipeline creation. You’ll work directly with our CEO, Product, Research, Engineering, and Sales teams to turn deeply technical differentiation into clear enterprise value. This is a hands-on, zero-to-one role for someone comfortable moving between strategy and execution without an established team or playbook.

## What You’ll Do

- Define Granica’s positioning, messaging, and category narrative across data infrastructure and enterprise AI.
- Build the marketing function from zero, including priorities, channels, measurement, and eventually the team.
- Partner with Sales on enablement, competitive positioning, customer proof, ROI narratives, and enterprise-facing materials.
- Lead go-to-market for new products and research, including Large Tabular Models, and translate technical capabilities into clear customer value.
- Build Granica’s external presence across customer marketing, content, thought leadership, launches, events, PR, and analyst relations.

## What You’ll Bring

- Significant experience in enterprise B2B technology marketing, ideally across data infrastructure, AI/ML, cloud, databases, or developer platforms.
- Strong product-marketing fundamentals across positioning, messaging, launches, competitive strategy, sales enablement, and customer storytelling.
- Ability to understand technically complex systems and communicate them credibly to technical and executive buyers.
- Evidence of tying marketing work to measurable commercial outcomes such as pipeline, adoption, expansion, bookings, or revenue.
- A builder mentality: comfortable operating with ambiguity, limited infrastructure, and moving directly from strategy to execution.

Bonus

- Experience building or leading marketing at an early-stage infrastructure or AI company.
- Direct experience with Snowflake, Databricks, lakehouse architectures, cloud data platforms, or ML infrastructure.
- Experience creating or repositioning a technical category.
- Familiarity with buyers such as CIOs, CDOs, VP Data Engineering, Platform Engineering, and AI Infrastructure leaders.
- Technical background in computer science, engineering, data, or another quantitative discipline.

## Why This Role Matters

Granica has spent years building deeply technical products and research before building a marketing organization. The products are real. The customers are real. The technical differentiation is deep. But much of the market still does not know Granica exists. You won’t inherit an existing story or marketing machine. You’ll help define the category, build the function, and shape how Granica is understood as the company scales.

## 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)

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