Enterprise Account Executive - Mountain View onsite

Location: Mountain View onsite

Granica is an AI infrastructure company helping enterprises make massive datasets efficient reliable and ready for AI.

Our platform integrates directly with modern data stacks to optimize the health structure and cost of large tabular datasets used in analytics and machine learning.

Using Granica companies can:

• Reduce storage costs by 50–60%

• Lower compute spend by up to 60%

• Improve data reliability and query performance

• Prepare large datasets for AI and analytics workloads

Granica works alongside modern cloud data platforms and data lakes helping organizations manage petabyte-scale datasets more efficiently.

We’re backed by $65M+ from Bain Capital Ventures and A Capital* and built by researchers and engineers from leading data infrastructure and cloud companies.

Granica is hiring an Enterprise Account Executive to drive adoption of our platform across data-intensive organizations.

You will work with data platform teams engineering leaders and executives responsible for managing large-scale cloud data environments.

This role requires a strategic enterprise seller who is comfortable navigating complex technical buying processes and building trusted relationships with senior stakeholders.

You will partner closely with engineering and forward-deployed teams to guide customers from initial discovery through production deployment.

• Own the full enterprise sales cycle from prospecting through close and expansion

• Build relationships with senior leaders across data infrastructure and engineering teams

• Lead complex enterprise sales cycles involving architecture evaluation and proof-of-value

• Partner with forward-deployed engineers to scope and deliver successful technical evaluations

• Develop strategic account plans across large data-driven organizations

• Navigate enterprise procurement security legal and compliance processes

• Close multi-year platform agreements and expand adoption within existing accounts

• 6+ years of quota-carrying enterprise software sales experience

• Demonstrated success closing complex enterprise platform deals

• Experience selling into technical buying centers such as data engineering infrastructure or platform teams

• Experience navigating multi-stakeholder enterprise sales cycles

• Strong consultative sales approach and executive presence

• Ability to build compelling business cases tied to cost savings efficiency or infrastructure optimization

• Comfortable working in a high-ownership startup environment with minimal sales support

• Familiarity with modern cloud data environments and large-scale analytics platforms

• Experience selling solutions related to data infrastructure cloud platforms developer tools or AI/ML systems

• Experience working with organizations managing large cloud data estates

Granica is tackling one of the biggest challenges in the AI stack: preparing and optimizing the massive datasets that power modern analytics and machine learning.

By making enterprise data lighter faster and more reliable we help organizations unlock the full potential of their AI infrastructure.

Joining Granica means:

• Selling a high-impact infrastructure platform

• Engaging directly with data and engineering leaders

• Working on large strategic enterprise deals

• Joining early in a company with significant market opportunity

• Competitive salary meaningful equity and substantial bonus for top performers

• Flexible time off plus comprehensive health coverage for you and your family

• Support for research publication and deep technical exploration

At Granica you will shape the fundamental infrastructure that makes intelligence itself efficient structured and enduring. Join us to build the foundational data systems that power the future of enterprise AI!

What We Do

Our mission is to remove inefficiency from the foundation of AI. By combining new research in information theory probabilistic modeling and distributed systems we’re creating self-optimizing data infrastructure that continuously improves how information is represented and used by intelligent systems.

Why Work With Us

We’re a tight-knit team combining --> * Fundamental research in compression data systems and information theory* World-class systems engineering across storage infrastructure and research led by our Chief Scientist & Stanford Prof. Andrea Montanari* A shared obsession with performance scale and clean design

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