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Granica

Enterprise Account Executive - Mountain View, onsite

Reposted 9 Days Ago
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In-Office
Mountain View, CA
280K-340K Annually
Expert/Leader
In-Office
Mountain View, CA
280K-340K Annually
Expert/Leader
Design and implement algorithms for data optimization at scale, creating efficient systems for data processing and cost reduction.
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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:

  • Crunch — continuous optimization for enterprise lakehouse data

  • Myelin — stateful infrastructure for long-running AI agents

  • Large Tabular Models — foundation models designed for enterprise tables

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'll sell deeply technical infrastructure to data platform, engineering, infrastructure, and AI leaders at some of the world's most sophisticated technology companies. This is a true hunter role: creating pipeline, opening strategic accounts, leading technical evaluations, building compelling business cases, and closing multi-year platform agreements.

While this is a remote position, you'll regularly meet customers across the Bay Area and collaborate in person with our team at our Mountain View headquarters.

You'll work directly with our Head of Sales, founders, engineers, and product leaders. The GTM organization is still early, giving you the opportunity to influence how we build and scale our enterprise sales motion.

What You'll Own
  • Build and grow a strategic territory

  • Generate net-new enterprise pipeline

  • Develop executive relationships across data, engineering, infrastructure, and AI organizations

  • Lead technical discovery, architecture reviews, and proofs of value

  • Build ROI-driven business cases focused on infrastructure cost, efficiency, and AI readiness

  • Navigate complex enterprise buying cycles from first meeting through production deployment

  • Close and expand strategic enterprise customers

What We’re Looking For
  • 7+ years of quota-carrying enterprise sales experience

  • Proven new-logo hunter

  • Experience selling technical platforms or infrastructure

  • Strong executive presence and technical credibility

  • Track record closing complex, multi-stakeholder deals

  • Comfort operating with high ownership and limited support

  • Experience with data infrastructure, cloud platforms, databases, lakehouse technologies, developer tools, observability, storage, compute, or AI/ML infrastructure is strongly preferred.

Strongly preferred:

Experience selling data infrastructure, cloud infrastructure, developer platforms, databases, observability, storage, compute, or AI/ML infrastructure.

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
  • 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.

 

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