---
title: 'Founding Marketer – B2B Data & AI Infrastructure at Granica'
canonical: 'https://feeny.ai/job/founding-marketer-b2b-data-ai-infrastructure-granica-bay-area-qqxqkaea6dhw'
type: 'job'
last_seen: '2026-11-10'
---

# Founding Marketer – B2B Data & AI Infrastructure at Granica

- **Company:** Granica
- **Location:** Bay Area
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-11-05
- **Last confirmed live:** 2026-11-10
- **Apply:** https://jobs.ashbyhq.com/granica/54d62874-d597-4113-bd88-9ed7977427ad

## Job description

Founding Marketer – B2B Data & AI Infrastructure 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. We're 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 a Founding Marketer to help build Granica's marketing presence from the ground up. This is a hands-on, high-ownership opportunity for someone who wants to shape how an ambitious AI infrastructure company tells its story, reaches enterprise buyers, and grows its market presence. You'll work directly with our CEO, Product, Research, Engineering, and Sales teams to translate sophisticated technology into compelling messaging, customer stories, campaigns, and sales opportunities. There is no large marketing team or established playbook. You'll have the freedom to experiment, execute quickly, and make a visible impact on the company's growth.

## What You'll Do

- Positioning & Messaging: Develop clear, differentiated messaging across Granica's products, turning complex technical capabilities into compelling customer value.
- Product Marketing: Support product launches, competitive positioning, customer use cases, and go-to-market initiatives across data infrastructure and enterprise AI.
- Sales Enablement: Partner closely with Sales to create presentations, battlecards, ROI narratives, case studies, and other materials that help move enterprise deals forward.
- Content & Thought Leadership: Create compelling technical and business content, including blogs, customer stories, research announcements, and executive thought leadership.
- Demand Generation: Build and execute targeted campaigns, events, and other programs that increase awareness, generate qualified pipeline, and support enterprise sales.
- Marketing Operations: Establish foundational marketing processes, tools, performance metrics, and scalable programs as the company grows.

## What You'll Bring

- 5+ years of experience in B2B technology marketing, ideally in product marketing, growth marketing, or a combination of both.
- Experience marketing technical products in data infrastructure, AI/ML, cloud, databases, developer tools, or enterprise software.
- Strong writing, messaging, and storytelling skills, with the ability to make complex technology understandable and commercially relevant.
- Demonstrated experience executing marketing initiatives independently, from concept through measurable results.
- Familiarity with enterprise sales cycles and collaborating closely with Sales and Product teams.
- A builder mentality: resourceful, adaptable, comfortable with ambiguity, and excited to do the work rather than just direct it.

Why Join Granica? Build something from day one. You'll be our first dedicated marketer, with meaningful ownership over the company's marketing direction and execution. Work on genuinely differentiated technology. Our products combine large-scale enterprise data systems with advanced AI research led by Stanford Professor Andrea Montanari. See your impact directly. Work alongside company leadership, collaborate closely with Sales and Product, and see how your contributions influence customer conversations and business growth. Grow with the company. As Granica scales, you'll have the opportunity to expand your responsibilities and help shape the future marketing organization. We're looking for someone who wants to build, experiment, and make things happen — not wait for a large team, extensive resources, or a perfectly defined playbook.

## 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

- [Enterprise Account Executive - Mountain View, onsite](https://feeny.ai/job/enterprise-account-executive-mountain-view-onsite-granica-bay-area-v1mcbe10jx24) — Bay Area
- [Product Manager – Large Tabular Models](https://feeny.ai/job/product-manager-large-tabular-models-granica-bay-area-dmfh4stjx4qb) — Bay Area
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- [Research Scientist – Diffusion Models](https://feeny.ai/job/research-scientist-diffusion-models-granica-bay-area-g1gcawhdzsns) — Bay Area
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