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Visor.ai

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About

Visor.ai is an AI-first customer service automation platform that uses LLM and Generative AI to enable smarter conversations and efficient process automation. It helps businesses enhance efficiency and productivity by automating interactions through different channels such as chat, email, and voice. The platform offers life-like voice responses in 100+ languages and provides tools for non-technical teams to adapt the solutions. Visor.ai emphasizes a simple and intuitive platform for managers and agents, allowing autonomous work with AI-powered Virtual Assistants.

Platform
Web
Keywords
aigenerative aivirtual assistantllmcustomer service automation
Task
customer automation

Features

automate repetitive tasks

ai-first customer service automation

agile craft development

drive faster, accurate responses to customers

provide real-time ai support

generative ai made easy

seamless customer service automation

voice virtual assistant: life-like responses in 100+ languages

Job Opportunities

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Visor.ai

Pre-Sales Engineer

Visor.ai is an AI-powered platform specializing in customer service automation, offering virtual assistants and generative AI solutions to enhance customer experiences and streamline operations across various channels.

saleshybridPTfull-time

Benefits:

  • Health insurance

  • Career growth opportunities

  • Access to training, events, and conferences

  • Free coffee

  • Arcade machines

Education Requirements:

  • Bachelor’s degree in Computer Science, Business, Engineering, or equivalent experience.

Experience Requirements:

  • 5+ years in pre-sales, business development, or similar roles in tech.

  • Technical expertise in at least one of Visor.ai’s core areas: AI, data science, software engineering.

  • Strong knowledge of cloud contact centers and automation software.

  • Experience with API integrations, web services, and AWS Cloud.

Other Requirements:

  • Native in Portuguese and fluent in English & Spanish.

Responsibilities:

  • Define & optimize the pre-sales process for efficiency and accuracy.

  • Understand client needs, identify potential challenges, and propose solutions.

  • Collaborate with engineering teams to tailor products to customer requirements.

  • Provide technical expertise and support in demonstrations of new products.

  • Assist in proposal preparation, aligning solutions with client needs.

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