Enterprise Account Executive - Mountain View, onsite

Granica · San Francisco · $200,000 (stated in the posting)

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Enterprise Account Executive — San Francisco Bay Area

Location: San Francisco Bay Area / Mountain View, onsite

About Granica

Granica builds AI infrastructure for enterprises operating massive data environments.

Our platform helps data and engineering teams reduce storage and compute costs, improve performance and reliability, and prepare large datasets for analytics and AI.

Our products include:

Together, we are building the infrastructure that enables enterprises to own their data, own the intelligence built on it, and scale both efficiently.

Granica has demonstrated approximately $200K in annualized value per petabyte and verified customer value within weeks.

The Role

We're looking for an experienced Enterprise Account Executive to help build Granica's presence across the Bay Area.

You will sell deeply technical infrastructure to data platform, engineering, infrastructure, AI/ML, and executive buyers. This is a true hunter role: create pipeline, open strategic accounts, lead technical evaluations, build the economic case, and close multi-year platform agreements.

You will work directly with our Head of Sales, founders, engineers, and forward-deployed teams. The GTM organization is early, so you will help shape how we sell—not inherit a finished playbook.

What You'll Own

What We’re Looking For

Why Granica

Enterprise AI depends on high-quality, efficient data infrastructure. Granica is building the software that helps organizations optimize the data powering their analytics, machine learning, and AI workloads.

You'll join early, work directly with company leadership, help shape our GTM strategy, and build relationships with some of the most innovative technology companies in the world.

Compensation & Benefits

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.

 

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