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Granica

Cloud storage PII detection with pay-per-use

Enterprise Account Executive

Account ExecutivePosted on Nov 12
Full-timeMountain View, CA, USA

About the Job

Requirements

  • At least 5 years of quota-carrying enterprise sales experience, with a track record of meeting or exceeding targets.
  • Ability to prospect, generate pipeline, win new logos, and close enterprise deals.
  • Experience selling technical platforms or infrastructure to sophisticated enterprise buyers.
  • Ability to communicate effectively, demonstrate executive presence, and navigate technical conversations.
  • Experience managing complex, multistakeholder sales cycles.
  • Entrepreneurial mindset, strong work ethic, and comfort operating with high ownership and limited support.

Responsibilities

  • Build and grow a Bay Area enterprise territory.
  • Personally generate net-new pipeline and acquire new enterprise customers.
  • Develop relationships with data platform, engineering, infrastructure, artificial intelligence and machine learning, and executive buyers.
  • Lead discovery, technical evaluations, and proofs of value alongside engineering.
  • Build compelling return-on-investment cases around infrastructure efficiency, performance, and cost savings.
  • Navigate complex enterprise sales cycles, including security, procurement, legal, and executive negotiations.
  • Close multiyear platform agreements and contribute to Granica's evolving go-to-market strategy.

Desired Qualifications

  • Experience with data infrastructure, databases, lakehouse technologies, cloud platforms, developer tools, observability, storage, compute, or artificial intelligence and machine learning 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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