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
Task
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
Business Development Manager
AI platform for building custom image recognition and machine learning models.
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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Ratings & Reviews
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