Kata.ai is an Indonesian Conversational Artificial Intelligence company with a focus on creating technology to enhance the understanding of human conversations, improving the way humans collaborate with machines. Kata.ai’s Natural Language Processing (NLP) technology powers MultiPurpose chatbots (virtual customer service / virtual friend) for major corporations in Indonesia across different kinds of industries such as Unilever (FMCG), Telkomsel (Telco), Bank BRI (Financial Services), and Alfamart (Retail).
The company’s proprietary Kata Bot Platform can be leveraged to create feature-rich chatbots on top of Kata.ai’s robust and scalable AI technology platform, ensuring company of any size can easily build their own chatbot on any messaging platform. With this platform, it is now possible for the business to focus on designing engaging interaction for their customers, while Kata.ai handles all the technology aspects of the chatbots.
Established in 2015, the company has become a trusted partner for major corporations such as Microsoft, Accenture, and Line. In 2020, the company received Series-B funding from TransPacific Technology Fund and MDI Venture.
Job DescriptionRun Kata.ai's Technical Support function end-to-end — managing client issue triage, BAU client requests, SLA performance, incident response, RCA quality, and continuous workflow improvement — across Kata's chatbot, voice AI, and Omnichannel platforms for a portfolio of enterprise clients in regulated industries. Lead the weekly Incident Review forum to convert recurring incidents into structured action items for Engineering and Product, so that clients experience reliable, fast, and high-quality service resolution — and so that operational insights flow back into Engineering and Product to systematically reduce recurring issues at the platform level.
QualificationsExperience :
- 3–5 years in technical support, customer success engineering, or operations roles, with at least 1 year leading or coordinating a team
- Hands-on experience managing SLA-driven support operations for B2B / enterprise clients, ideally in SaaS or messaging platform environments
- Hands-on troubleshooting experience with WhatsApp Business API, chatbot platforms, or conversational AI products
- Track record of producing RCA documentation for production incidents to enterprise clients
- Experience designing shift schedules, on-call rotations, or capacity plans
- Exposure to IT security practices in a support or operations context, handling client data responsibly, applying access-control basics, recognizing security-sensitive incidents is a plus
Qualifications & Education :
- Bachelor's degree in Computer Science, Information Technology, Information Systems, or related technical field
- ITIL Foundation certification or equivalent service management training is a strong plus
- Cloud or platform certifications (GCP/Azure, Meta Business Partner) are advantageous
- IT Security certifications (CompTIA Security+, ISO/IEC 27001 Foundation, CEH, or equivalent) are a plus
Technical Skills :
- Ticketing & Service Management: Hands-on with at least one major system (Zendesk, Freshdesk, Jira Service Management, Intercom, or equivalent) — including SLA configuration, queue routing, and reporting
- Messaging & Communication Platforms: WhatsApp Business API, SeaTalk, Email — including template approvals, business verification, and webhook delivery troubleshooting
- Log Analysis & Troubleshooting: Reading application logs, API responses, and webhook payloads to isolate root causes, comfort with Kibana, Grafana, GCP Logging, or equivalent
- API & Webhooks: Proficient with REST API testing (Postman, cURL); understands webhook signatures, retries, and rate limiting
- Chatbot & Conversational AI Platforms: Working knowledge of chatbot architectures, NLU/intent debugging, and conversation flow troubleshooting (Kata CX or equivalent)
- Cloud Platforms: Working familiarity with GCP and/or Azure for navigating logs, monitoring dashboards, and basic resource-health checks
- Reporting & Documentation: Experience producing RCA documents and operational dashboards; comfort with Google Sheets / Excel / BI tools for SLA reporting
- Automation (plus): Basic scripting (Python, Bash) or no-code automation (Zapier, n8n) for repetitive support tasks
Job Title : Senior (Functional Lead, Individual Contributor)
Job Level : Mid / SeniorEmployment
Status : Full-Time, Permanent
Additional InformationWe value a flexible working hour for our employees.
The most important is we provide a learning experience in Conversational AI Industry.
Skills Required
- 3-5 years in technical support, customer success engineering, or operations roles, with at least 1 year leading or coordinating a team
- Hands-on experience managing SLA-driven support operations for B2B / enterprise clients, ideally in SaaS or messaging platform environments
- Hands-on troubleshooting experience with WhatsApp Business API, chatbot platforms, or conversational AI products
- Track record of producing RCA documentation for production incidents to enterprise clients
- Experience designing shift schedules, on-call rotations, or capacity plans
- Exposure to IT security practices in a support or operations context (access control, handling client data, recognizing security-sensitive incidents)
- Bachelor's degree in Computer Science, Information Technology, Information Systems, or related technical field
- ITIL Foundation certification or equivalent service management training
- Cloud or platform certifications (GCP/Azure, Meta Business Partner)
- IT Security certifications (CompTIA Security+, ISO/IEC 27001 Foundation, CEH, or equivalent)
- Hands-on experience with ticketing & service management systems (Zendesk, Freshdesk, Jira Service Management, Intercom) including SLA configuration, queue routing, and reporting
- Experience with messaging & communication platforms (WhatsApp Business API, SeaTalk, Email), including template approvals, business verification, and webhook delivery troubleshooting
- Log analysis & troubleshooting skills; comfortable reading application logs, API responses, webhook payloads; familiarity with Kibana, Grafana, GCP Logging or equivalents
- API & Webhooks proficiency: REST API testing (Postman, cURL); understand webhook signatures, retries, and rate limiting
- Working knowledge of chatbot architectures, NLU/intent debugging, and conversation flow troubleshooting
- Working familiarity with cloud platforms (GCP and/or Azure) for logs, monitoring, and basic resource health checks
- Experience producing RCA documents and operational dashboards; comfortable with Google Sheets / Excel / BI tools for SLA reporting
- Basic scripting (Python, Bash) or no-code automation (Zapier, n8n) for repetitive support tasks
What We Do
Kata.ai is an Indonesian Conversational Artificial Intelligence company with a focus on enhancing the understanding of human conversations, improving the way humans collaborates with machines. Kata.ai’s Natural Language Processing (NLP) technology powers intelligent chatbots (virtual customer service / virtual friend) for major corporations in Indonesia across different kind of industries such as, Unilever (FMCG) and Telkomsel (Telco). The company’s proprietary Kata Bot Platform can be leveraged to create engaging chatbots on top of Kata.ai’s robust and scalable AI technology platform, ensuring company of any size can easily build their own chatbot on any messaging platform. Established in 2015, the company has become a trusted partner for major corporations such as Microsoft, Accenture, and Line. In 2017, the company also received Series-A funding led by Trans-Pacific Technology Fund.







