Granica
Enterprise Account Executive - Mountain View, onsite
4mo ago
280000 –340000 USD / yearUSAaccount managemententerprise salescustomer relationship management
Enterprise Account Executive role focused on selling AI infrastructure platform to data-intensive organizations.
Responsibilities
- 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.
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
Conditions
- 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 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 .
Other
- 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.
- 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