Incident Engineer
Indexed description
About the Company:
Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!About the roleWe are looking for a proactive Incident Manager to own end-to-end incident response across our AI and platform stack. You will ensure rapid detection, triage, communication, and resolution of incidents impacting customers and internal systems.
Responsibilities
Own the incident lifecycle: detection, triage, escalation, resolution, and postmortems
Act as the central command during major incidents (war rooms, stakeholder updates)
Define and enforce SLAs/SLOs, incident severity frameworks, and runbooks
Collaborate with Engineering, ML, and Integrations teams to resolve issues quickly
Monitor system health across integrations (agent desks, LLMs, ASR/TTS pipelines)
Drive root cause analysis (RCA) and preventive actions
Improve observability, alerting, and incident tooling
Maintain clear internal and customer-facing communication during incidents
Requirements
3–6 years in Incident Management / SRE / Production Support roles
Strong understanding of distributed systems, APIs, and cloud environments (AWS)
Experience with observability tools (e.g., DataDog)
Familiarity with AI/ML systems, especially LLM integrations and voice stacks (ASR/TTS), is a plus
Experience with monitoring/tracing tools like Langfuse or similar
Excellent communication and stakeholder management skills
Ability to stay calm under pressure and drive structured resolution
Nice to Have
Exposure to OpenAI or similar LLM platforms
Experience supporting customer-facing SaaS products
Automation mindset (runbooks, alert tuning, incident tooling)
Originally posted on Himalayas
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