
Enterprise Account Executive - Mountain View, onsite
Job Description
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
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
Build and grow a strategic territory
Generate net-new enterprise pipeline
Sell to technical and executive buying committees
Lead discovery, architecture reviews, and proofs of value
Develop ROI cases tied to infrastructure cost and efficiency
Navigate security, procurement, legal, and complex enterprise cycles
Close and expand strategic platform 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.
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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Job Details
- Category
- Business & Finance
- Employment Type
- Full Time
- Location
- San Francisco Bay Area, US
- Posted
- Last updated
- Jul 31, 2026, 03:40 PM
- Compensation
- $280,000 - $340,000 per year
About Granica
Granica is an AI research and infrastructure company building reliable and steerable representations for enterprise structured data. The rarest thing in enterprise AI is durable access plus trust. Crunch is how we earn it: a policy-driven physical health layer that keeps large tabular data estates efficient and reliable, safely and reversibly. On top of that foundation, we’re building structured intelligence using Large Tabular Models: systems that learn cross-column and relational structure to deliver trustworthy answers and automation with provenance and governance built in.
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