Find Your Dream Customer Support Job in India

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

We are seeking an experienced Automation Engineer to design and build a comprehensive, AI-driven customer support system that delivers 360 assistance to customers, subsidiaries, distributors, and internal teams - achieving a maximum 2-hour response time and exceptional satisfaction across all support channels.

Objective

Develop an intelligent support structure that ensures every inquiry - clinical, technical, sales, IT, or general - is efficiently managed, tracked, and resolved through automated or semi-automated AI solutions, utilizing existing human resources to minimize additional hiring.

Current Challenges

• Clinical questions receive no timely or structured response (Clinical Hotline, Case Desk, FAQs, or case database).
• Lack of centralized technical, digital, and lab support covering case planning, design, and validation.
• Delayed or missing responses to general, sales, and subsidiary inquiries.
• Distributors and partners often remain unsupported.
• IT-related issues and patient inquiries (e.g., seeking doctors while abroad) remain unresolved efficiently.
• Absence of data analytics, trend tracking, or AI-driven insights to guide sales, service, and product improvement.
• Support data are not systematically stored or accessible through Odoo or a unified platform.

Project Goals

• Create a fully integrated customer care ecosystem combining automated, AI, and human-assisted support.
• Implement intelligent agents for self-learning FAQs, trend analysis, and monthly performance recommendations.
• Centralize all support data in Odoo, ensuring smooth coordination across departments and subsidiaries.
• Provide real-time support channels (messenger, email, phone, video consultation) and enable instant routing of issues to the right specialists.
• Include case planning assistance and prosthetic solution guidance for clinicians using the ROOTT Dental Implant System.

Candidate Responsibilities

• Design, implement, and maintain an AI-powered automated support framework that handles all categories of inquiries (Clinical, Technical, Sales, Product, Digital Workflow, and Patient Assistance).
• Build and manage a centralized knowledge base enriched with dynamic, self-learning FAQ modules.
• Analyze support trends to generate data-driven insights and corrective actions.
• Optimize existing workflows to deliver a 2-hour or less response rate and ensure 100% customer satisfaction.

This role is ideal for a system engineer passionate about AI automation, process optimization, and building user-centric support ecosystems that make clinicians support & happy - fast.

1. Customer Support Executive

Key Details:

• Salary: 32,000 CTC
• Location: Jaipur, Rajasthan
• Working Days: 5.5 Days (Rotational Shifts & Offs)
• Openings: 20 Positions

Candidate Requirements:

• Education: Undergraduate or Any Graduate.
• Experience: Minimum 6 months of BPO experience specifically within a Hospitality background (Mandatory).
• Skills: Excellent verbal and written communication skills are mandatory.
• Versant Level: Must clear C1 US Voice Versant .
• Preferred Background: Experience with brands like MakeMyTrip, Airbnb, or Hilton (TP process) is highly preferred.

Serious about earning more and building an international career? We are hiring.

At Epiv Solution & Service LLP, we are expanding our US operations and hiring people who want real growth and opportunity.

🎧 Customer Support Executives

Freshers welcome. Experience is a plus.

📍 Vastrapur, Ahmedabad

🕗 US Shift | 8:00 PM to 5:00 AM

📅 5 days working

💰 Earn up to ₹30,000 + Incentives

• Attendance Bonus
• Referral Bonus

🌍 Exposure & Growth

• Live US campaigns
• Direct international market experience
• Stable long term processes
• Supportive environment with a clear path forward

What matters most here is simple.

Clear English, willingness to learn, and the attitude to show up and improve every day.

Why build your career with us

• Stable company with 4+ years serving international clients
• Structured process and compliant operations
• Coaching, not micromanagement
• A team that respects effort and performance
• Real opportunities to grow as we scale

Immediate joiners preferred.

📧 hr@epivsolution.com

📞 +91 96649 55363

If you are ready f

Job Purpose:

dnata is world’s trusted aviation partner. Our award-winning aviation services are the cornerstone of airport, passenger, and travel operations across the world. As part of the Emirates Group, dnata is a leading global air and travel services provider. Established in 1959, we offer a wide range of quality and safe ground handling, cargo, travel, catering, and retail services in 35 countries across 6 continents, contributing to a memorable travel experience in the air and on the ground. If it’s part of the journey, it’s part of the portfolio.

As a Customer Service Agent , you will have the important role of being the voice of our major airline clients, providing our client’s valued customers with accurate and up-to-date information about our products and services. We are seeking a skilled professional to provide exceptional customer service by promptly and accurately responding to inquiries through voice support. Your role will be crucial in ensuring that our customers feel valued and supported throughout their journey.

Qualification:

• Freshers: Minimum of 12+ years of education in Travel, Tourism, Aviation, or a recognized Aviation certification course (preferred).
• Experienced candidates: Prior work experience specifically in Travel, Tourism, or Aviation companies is preferred.
• Language skills: Fluency in both spoken and written English.
• Interperson

SocialPilot is looking for an Manager-Customer support(US Shift) to partner with SocialPilot’s customers and make them truly successful in achieving their social media goals.

As a part of the customer success team, you will help prospects in understanding if SocialPilot is the right platform for them. You will also work with customers to resolve any issues, help them adopt new features, and overall be their partner in success.

Location : Remote

What you will do

• Ensure consistent, high-quality customer support across email, chat, and voice channels by maintaining support standards and guidelines
• Act as an escalation point for complex customer issues and ensure timely resolution
• Monitor team performance, KPIs, SLAs, CSAT, and quality metrics
• Develop, document and improve support processes, workflows, and knowledge base.
• Collaborate with Product, Engineering, and other internal teams to resolve issues and share customer feedback
• Should be able to work as an IC to handle support tickets and calls

What are you like:

• 8 years of experience in customer support within a B2B SaaS company
• Excellent written and verbal English communication skills (mandatory)
• 3+ years of experience managing or leading a customer support team
• Hands-on experience handling customer support via emails, chats, and calls
• Strong

🚨 Urgent Hiring | Customer Support Executive – International Voice | Jaipur 🚨

Hi Everyone 👋

We are currently hiring Customer Support Executives for an International Voice Process for one of our reputed global clients.

📍 Location: Jaipur

💼 Role: Customer Support Executive – Voice

⏳ Experience: Minimum 6 months International BPO – Voice

🗣️ Skills: Good English Communication

🕒 Shift: Rotational / Night Shifts

⚡ Joining: Immediate Joiners Preferred

✅ Eligibility:

✔️ International Voice Experience Mandatory

✔️ Comfortable with Night Shifts

✔️ Graduate / Undergraduate Eligible

❌ Freshers Not Eligible

📩 Interested candidates, please share your updated CV at:

📧 himanshi.grover@pineqlab.com

📌 Referrals are most welcome 🙌

Kindly share this post in your network.

⚠️ Limited openings | Fast interviews | Quick onboarding

We currently have openings for Process Excellence & Customer Support Manager positions at our Thane location.

A.TREDS Limited (a group company of Axis Bank) is a national level online platform which facilitates financing of Receivables of Micro, Small and Medium Enterprises (MSME) from buyers through financiers. TREDS is in the business of opening accounts, uploading, accepting, discounting and settlement of Invoices and Bills of Exchange by way of Factoring and Reverse Factoring and provide such other services as permitted by the RBI from time-to-time.

Invoicemart is an online receivable discounting platform for facilitating the short-term financial transactions in a smooth and efficient manner among the financers, buyers and sellers.

To know more about the organization please visit our website

Position Overview:

We are seeking a strategic and tech-savvy professional to lead digital transformation and automation initiatives across onboarding, transaction, and settlement processes. The role involves identifying process improvement opportunities, implementing innovative solutions, and collaborating with cross-functional teams to enhance operational efficiency and customer experience.

The ideal candidate will have experience in leading transformation projects within the BFSI or fintech space, strong technical understanding of digital tools and platforms, and the abi

Why this role exists

We organise reliable farm labour for horticulture (starting with Nashik’s grape belt). Farmers get timely, skilled crews; workers get dignified, transparent jobs. We need a Marathi-fluent support executive with hands-on agriculture exposure to be the trusted voice between farmers, mukkadams (labour supervisors) and our field teams.

What you’ll do

• Farmer & Labour Helpline (Marathi-first): Handle inbound/outbound calls and WhatsApp for grape operations like pruning, shot tying, thinning, dipping, etc.
• Booking orchestration: Convert validated requests into confirmed work orders; coordinate crew allocation with Field Ops; share reporting/SOPs.
• Issue triage: Escalate absenteeism, quality disputes, transport delays, or accommodation issues to District/Field Ops; close the loop fast.
• CRM hygiene: Log every interaction; tag crop, acreage, village/cluster, pruning/harvest window; maintain farmer and labour profiles.
• Farmer education: Explain packages of practices, task windows, and labour readiness in clear Marathi aligned to the local horticulture calendar.
• Season readiness: Run reminder cadences before pruning/harvest windows; nudge deposits and documentation.

Must-have (non-negotiable)

• Fluent Marathi


Bharat Intelligence



Today