Location: Mountain View, onsite
About GranicaGranica 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 RoleGranica 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 DoOwn 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 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.
Skills Required
- PhD in Algorithms, Optimization, Computational Geometry, or a related mathematical field
- Experience working on performance-critical components in large-scale environments
- Strong coding ability in Python or Rust
- Research that's been cited or applied in systems contexts
- Comfortable validating ideas against large-scale datasets
Granica Compensation & Benefits Highlights
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Healthcare Strength — Policies advertise premium medical, dental, and vision coverage with mental‑health benefits and FSAs. Some materials indicate fully paid employee coverage with meaningful dependent support.
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Leave & Time Off Breadth — Time off includes unlimited PTO paired with quarterly recharge days, alongside paid holidays and sick time. Guidance encourages multi‑week annual rest to reduce burnout.
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Strong & Reliable Incentives — Compensation highlights include quarterly performance bonuses for all roles in addition to competitive salary. Feedback suggests these incentives are a consistent part of the total‑rewards design.
Granica Insights
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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Granica Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
