Geotab
Conversational AI Engineering
Geotab is a global leader in IoT and connected transportation and certified "Great Place to Work." We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities. Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab's open platform and Geotab Marketplace, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes. Who You Are
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking Conversational AI Engineering talent who will design, build, and optimize intelligent AI agents to enhance user interactions across all touchpoints, from chatbots to virtual assistants. If you love technology, and are keen to join an industry leader we would love to hear from you! What You'll Do
This role blends user experience (UX) principles with deep expertise in Natural Language Processing (NLP) and Large Language Models (LLMs). You'll be central to configuring and maintaining our Google Cloud Contact Center AI (CCAI) Platform, including Dialogflow CX, Agent Assist, and CCAI Insights, ensuring seamless self-service and improved live agent support through effective backend integrations and continuous optimization. To be successful in this role, you will have a mix of technical, analytical, and creative skills including experience with cloud-based AI platforms, strong programming capabilities, a solid grasp of conversational UX principles, and a passion for continuous improvement driven by user feedback and data. How You'll Make An Impact
Design, develop, and maintain complex Dialogflow CX agents, including conversational flows, intents, entities, and fulfillment logic. Create clear, concise conversational scripts, optimizing for Natural Language Understanding (NLU) and robust error handling. Configure and manage the Google Cloud Contact Center AI (CCAI) Platform for both voice and chat. Incorporate features like call routing and Agent Assist. Enhance and optimize existing AI Search tools (formerly Agent Builder). Integrate AI solutions with diverse datasets and curated datastores (e.g., Drives, GCP Buckets, BigQuery, APIs) for efficient data ingestion, indexing, and retrieval. Create and enhance AI playbooks to guide interactions and automate responses, leveraging customer feedback to drive improvements. Integrate CCAI and Dialogflow CX with critical backend systems, including Salesforce, Jira, Dynamics, and homegrown solutions, via APIs. Establish best practices for agent health and performance, focusing on minimizing conversation friction and ensuring high AI accuracy. Perform user research and analyze interaction data (e.g., chat logs) to identify pain points and drive continuous improvement. What You'll Bring To The Role
3-5 years of experience with Google Cloud AI Applications (formerly Agent Builder) - direct experience with implementing and optimizing search experiences using this platform is critical. Google Cloud Skills Boost (formerly Qwiklabs) Skill Badges - Skill badges related to Dialogflow CX, Generative AI. Skilled in API Development and Integration - Proficiency in integrating various systems using REST APIs, gRPC, and potentially custom webhooks. Proficient in Programming Languages - Strong skills in Python and/or Node.js are often used for Dialogflow CX fulfillments and integrations. Data Management and SQL - Expertise in BigQuery, Cloud Storage, and other data services for managing and optimizing data used by AI Search and conversational agents. Background in conversational design, UX writing, content strategy for AI, or a related field with a strong focus on user interaction. AI Foundations: Strong understanding of Natural Language Understanding (NLU), Natural Language Generation (NLG), and Large Language Models (LLMs). Familiarity with tools for creating flowcharts, wireframes, and prototypes (e.g., Figma, Miro). Ability to interpret conversational analytics (e.g., containment rates, deflection rates). Proven portfolio of conversational AI design work is highly desirable. Experience with user research methodologies and A/B testing for iterative improvement of conversational flows. Strong documentation skills for conversation maps and interaction guidelines. Exceptional written and verbal communication skills, with a talent for crafting engaging and empathetic dialogue. Strong analytical and problem-solving abilities to diagnose conversational issues and design effective solutions. A dynamic team player with a collaborative spirit, able to work effectively with both technical and non-technical teams. Capacity to manage multiple projects concurrently while maintaining attention to detail and organizational excellence. Strong mentorship capabilities with a willingness to help elevate team members. Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, HCI (Human-Computer Interaction), Interaction Design, Linguistics, Cognitive Science or a related field. If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply. Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
Geotab is a global leader in IoT and connected transportation and certified "Great Place to Work." We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities. Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab's open platform and Geotab Marketplace, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes. Who You Are
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking Conversational AI Engineering talent who will design, build, and optimize intelligent AI agents to enhance user interactions across all touchpoints, from chatbots to virtual assistants. If you love technology, and are keen to join an industry leader we would love to hear from you! What You'll Do
This role blends user experience (UX) principles with deep expertise in Natural Language Processing (NLP) and Large Language Models (LLMs). You'll be central to configuring and maintaining our Google Cloud Contact Center AI (CCAI) Platform, including Dialogflow CX, Agent Assist, and CCAI Insights, ensuring seamless self-service and improved live agent support through effective backend integrations and continuous optimization. To be successful in this role, you will have a mix of technical, analytical, and creative skills including experience with cloud-based AI platforms, strong programming capabilities, a solid grasp of conversational UX principles, and a passion for continuous improvement driven by user feedback and data. How You'll Make An Impact
Design, develop, and maintain complex Dialogflow CX agents, including conversational flows, intents, entities, and fulfillment logic. Create clear, concise conversational scripts, optimizing for Natural Language Understanding (NLU) and robust error handling. Configure and manage the Google Cloud Contact Center AI (CCAI) Platform for both voice and chat. Incorporate features like call routing and Agent Assist. Enhance and optimize existing AI Search tools (formerly Agent Builder). Integrate AI solutions with diverse datasets and curated datastores (e.g., Drives, GCP Buckets, BigQuery, APIs) for efficient data ingestion, indexing, and retrieval. Create and enhance AI playbooks to guide interactions and automate responses, leveraging customer feedback to drive improvements. Integrate CCAI and Dialogflow CX with critical backend systems, including Salesforce, Jira, Dynamics, and homegrown solutions, via APIs. Establish best practices for agent health and performance, focusing on minimizing conversation friction and ensuring high AI accuracy. Perform user research and analyze interaction data (e.g., chat logs) to identify pain points and drive continuous improvement. What You'll Bring To The Role
3-5 years of experience with Google Cloud AI Applications (formerly Agent Builder) - direct experience with implementing and optimizing search experiences using this platform is critical. Google Cloud Skills Boost (formerly Qwiklabs) Skill Badges - Skill badges related to Dialogflow CX, Generative AI. Skilled in API Development and Integration - Proficiency in integrating various systems using REST APIs, gRPC, and potentially custom webhooks. Proficient in Programming Languages - Strong skills in Python and/or Node.js are often used for Dialogflow CX fulfillments and integrations. Data Management and SQL - Expertise in BigQuery, Cloud Storage, and other data services for managing and optimizing data used by AI Search and conversational agents. Background in conversational design, UX writing, content strategy for AI, or a related field with a strong focus on user interaction. AI Foundations: Strong understanding of Natural Language Understanding (NLU), Natural Language Generation (NLG), and Large Language Models (LLMs). Familiarity with tools for creating flowcharts, wireframes, and prototypes (e.g., Figma, Miro). Ability to interpret conversational analytics (e.g., containment rates, deflection rates). Proven portfolio of conversational AI design work is highly desirable. Experience with user research methodologies and A/B testing for iterative improvement of conversational flows. Strong documentation skills for conversation maps and interaction guidelines. Exceptional written and verbal communication skills, with a talent for crafting engaging and empathetic dialogue. Strong analytical and problem-solving abilities to diagnose conversational issues and design effective solutions. A dynamic team player with a collaborative spirit, able to work effectively with both technical and non-technical teams. Capacity to manage multiple projects concurrently while maintaining attention to detail and organizational excellence. Strong mentorship capabilities with a willingness to help elevate team members. Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, HCI (Human-Computer Interaction), Interaction Design, Linguistics, Cognitive Science or a related field. If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply. Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.