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Granica

Cloud storage PII detection with pay-per-use

Senior Enterprise Account Executive

Account ExecutivePosted on Nov 11
Full-timeMountain View, CA, USA

About the Job

Requirements

  • At least 7 years of quota-carrying enterprise sales experience, with consistent overachievement.
  • Demonstrated success personally sourcing pipeline, winning new logos, and closing complex, high-value enterprise deals.
  • Strong technical credibility selling sophisticated infrastructure or platforms to engineering and executive buyers.
  • Proven ability to navigate long sales cycles, technical evaluations, and multiple stakeholders.

Responsibilities

  • Build a strategic Bay Area enterprise territory from the ground up.
  • Personally source and close net-new enterprise opportunities.
  • Develop relationships with CIOs, CTOs, CDOs, and senior data, platform, and AI infrastructure leaders.
  • Lead complex technical discovery, evaluations, and proofs of value alongside engineering.
  • Build compelling economic cases around infrastructure efficiency, performance, and AI readiness.
  • Navigate multithreaded enterprise sales cycles, including security, procurement, legal, and executive negotiations.
  • Close large, multiyear platform agreements and help shape Granica's evolving go-to-market strategy.

Desired Qualifications

  • Experience selling data infrastructure, databases, lakehouse technologies, cloud platforms, distributed systems, developer tools, or AI/ML infrastructure.

About the Company

Granica

Cloud storage PII detection with pay-per-use

Granica.ai provides data security and AI services focused on identifying sensitive information, like PII, in cloud storage such as S3 and Google Cloud Storage. Its Byte Precise Detection technology achieves high precision and recall for detecting sensitive data while keeping costs low through a pay-per-use model. The product works by scanning data streams in cloud storage to locate sensitive bytes with statistical correlations, enabling scalable, autonomous operation across regions and clouds. Differentiators include pay-per-use pricing, scalable distributed systems, and a focus on lowering the cost and risk of using AI with privacy-aware data. The goal is to improve the signal-to-noise ratio of information to make AI safer, more affordable, and easier to use.

Company size
11-50
Company stage
Early VC
Total funding
$45M
Headquarters
Mountain View, CA
Founded
2019

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