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GEM (General Enterprise Machine Learning)

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About

GEM (General Enterprise Machine Learning) is an AI platform enabling businesses to build custom image recognition and machine learning models. It simplifies the creation, testing, and deployment of neural networks without needing specialized expertise. Scope Technologies also offers QSE Group, providing quantum-proof, true randomness for encryption (Entropy as a Service) and quantum immutable decentralized cloud storage resistant to ransomware and quantum attacks.

Platform
Web
Keywords
machine learningaiartificial intelligenceimage recognitionquantum security
Task
ai building

Features

object detection

behavioral analysis

machine learning model creation

custom image recognition

quantum immutable decentralized cloud storage

quantum-proof true randomness for encryption key generation

Job Opportunities

GEM (General Enterprise Machine Learning) favicon
GEM (General Enterprise Machine Learning)

Business Development Manager

AI platform for building custom image recognition and machine learning models.

saleshybridVancouver, CAfull-time

Benefits:

  • Competitive base salary with uncapped commission potential.

  • Flexible work environment with remote options.

  • Opportunity to be part of an innovative team at the forefront of cybersecurity and quantum technology.

  • Professional growth and learning opportunities in a fast-growing sector

Experience Requirements:

  • 2+ years of demonstrated success in SaaS sales, with a preference for experience in cybersecurity, encryption, or data protection industries

Other Requirements:

  • Exceptional interpersonal, presentation, and negotiation skills, with the ability to convey technical concepts in a client-friendly manner.

  • Familiarity with SaaS platforms; knowledge of cybersecurity or encryption technologies is a strong asset.

  • Track record of exceeding sales targets and closing deals.

  • Ability to work independently, set priorities, and drive results in a remote or hybrid environment.

  • Flexibility to collaborate in-house when required and adjust to evolving client needs or market demands

Responsibilities:

  • Lead Generation and Engagement

  • Client-Centric Solutions

  • Sales Presentations and Demos

  • Pipeline and CRM Management

  • Market Feedback and Collaboration

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Product Manager - Digital

AI platform for building custom image recognition and machine learning models.

Benefits:

  • Competitive salary and bonuses

  • Remote work flexibility with in-house team collaboration.

  • A chance to work on industry-leading technology at the cutting edge of data security.

  • Opportunities for professional development and growth within the cybersecurity and quantum technology space

Experience Requirements:

  • 2+ years in SaaS product management, with at least 1 years in a cybersecurity or data protection context

Other Requirements:

  • Exceptional communication, strategic thinking, and project management skills with a collaborative mindset.

  • Understanding of quantum security, data protection, or encryption is a strong asset.

  • Proven ability to work closely with customers to understand their needs and translate them into actionable product features.

  • Demonstrated success in managing and delivering SaaS products that meet both business and customer objectives

Responsibilities:

  • Product Strategy and Roadmap

  • Cross-Functional Leadership

  • Customer-Centric Development

  • Market Analysis

  • Product Lifecycle Management

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