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Collective[i]
Collective[i] is a B2B technology company that focuses on optimizing sales processes through the use of artificial intelligence. Their platform enhances productivity by providing reliable sales forecasts, improving CRM data quality, and enabling data-driven decision-making. Collective[i] serves enterprise-level clients, offering proprietary tools designed to increase revenue, streamline sales operations, and enhance the overall buying experience.
Artificial Intelligence • Machine Learning • Neural Network • Revenue • Sales
Head of Engineering
February 21
Collective[i]
Collective[i] is a B2B technology company that focuses on optimizing sales processes through the use of artificial intelligence. Their platform enhances productivity by providing reliable sales forecasts, improving CRM data quality, and enabling data-driven decision-making. Collective[i] serves enterprise-level clients, offering proprietary tools designed to increase revenue, streamline sales operations, and enhance the overall buying experience.
Artificial Intelligence • Machine Learning • Neural Network • Revenue • Sales
📋 Description
• Lead and inspire Frontend, Backend, Data Engineering, and Infrastructure teams, cultivating a collaborative and high-performing culture • Recruit, develop, and manage top engineering talent to drive excellence • Design and implement scalable, secure, and high-quality systems to support growth • Partner with Product teams to shape and execute the technology roadmap • Stay ahead of emerging technologies to ensure innovation and competitive advantage • Oversee engineering budgets, ensuring resources are optimized effectively
🎯 Requirements
• Provide technical guidance to team leads on architecture and design decisions • Manage, mentor, and communicate business and performance objectives effectively to a large team • Demonstrate strong communication skills and collaborate seamlessly with business, product, and development teams • Thrive under time-sensitive delivery deadlines while maintaining high-quality outcomes • Foster a team-player mentality with a strong sense of ownership and pride in delivering impactful work • Progressive engineering leadership experience in enterprise or analytical software development • Expertise in AI/ML systems and their practical applications • Proven experience with agile methodologies, Test-Driven Development (TDD), and Continuous Delivery (CD) • Mastery of modern web programming standards and microservices architecture; strong knowledge of React, Angular, NodeJS, and Python • Hands-on experience with cloud computing infrastructure (e.g., AWS, GCP) and scalable, distributed system design
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