Enterprise Account Executive

Location: US (Remote)

About Granica

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.

The Role

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.

What You’ll Do

• 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

What We’re Looking For

• 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

Nice to Have

• 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

Why Join Granica

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

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.