About the role
AI at Zapier At Zapier , we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently . Check out our guidance on How to Collaborate with AI During Zapier’s Hiring Process , including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to. Job Posted : July 10th, 2026 Location : NAMER Hi there! As Zapier expands into the enterprise market and accelerates AI-driven development, incident management is a front-line function for customer trust and operational reliability. The Incident Operations Specialist role is the engine that keeps the day-to-day operation of Zapier's incident program running — reliably, visibly, and at scale. You'll report to the Incident Program Manager and operate under their direction, owning the execution of the systems, workflows, and tooling that power incident response across Zapier. You are the person in the operations center: you keep things moving, you surface what's broken, and you use AI to build automation that lets a small team operate like a much larger one. This isn't a pure engineering role; it's an ops role with technical depth. The right person thinks in systems, writes automation to scale their own work. They use AI as a default, build repeatable workflows, and leave things more reliable than they found them.
The role is particularly exciting because decisions here ripple across Zapier, shaping how we manage a key process that involves the whole company. Our Commitment to Applicants Culture and Values at Zapier Zapier Guide to Remote Work Zapier Code of Conduct Diversity and Inclusivity at Zapier About You You run operations with precision . You keep complex systems running. You understand how incident tooling ( incident.io , PagerDuty, observability, integrations, Slack workflows) plugs together, you notice when something breaks before anyone else does, and you fix it. Configuration, routing, escalation paths, on-call schedules — this is your domain. You build with AI, not just prompt it. You use AI-native tools (Cursor, Claude, Copilot, or similar) as your standard working environment, not as a novelty. You've built repeatable AI-powered workflows — things that keep running when you're offline. You know when an AI output needs verification, and you've built quality checks into your systems. You can quantify how your AI usage has actually changed throughput or quality. You're technical enough to operate the tools and build custom ones. You're not a software engineer, but you can build custom automations, write SQL to pull from Databricks, configure API integrations, and prototype lightweight AI agents to extend your own capabilities. You operate comfortably in GitLab, Coda, Slack APIs, and observability tools. If a workflow doesn't exist, you build it. If a dashboard is broken, you fix it. You close the loop. You finish what you start without needing follow-up. Jira reflects reality. Commitments land on time. When something slips, you flag it early; you don't go quiet. You prioritize ruthlessly. You receive requests from multiple directions. You apply judgment, push back on low-priority work that doesn't align with program goals, and protect your capacity for high-impact operational work. You clearly and quickly escalate trade-offs rather than getting pulled thin. You understand that incident rotations mean incidents are shared responsibility. You're empathetic with commanders under pressure, give feedback that improves future response without creating friction, and embrace feedback on your own work. You make the whole community better — you don't position yourself as the single point of expertise. You distill complexity into clarity. You're curious and resourceful. You ask the right questions to understand customer and technical impact, then translate that into plain-language guidance for Support, GTM, and leadership — without losing the signal. You work async-first. Zapier is 100% remote. You write clearly and proactively. You design your work to be transparent and handoff-ready. You know when to escalate to a live conversation and when to make the call and document it. Things You'll Do Own incident tooling operations. Maintain the reliability and configuration of incident.io , PagerDuty, Slack-based workflows, on-call rotations, and escalation paths. Monitor integrations and automations for issues. Fix what breaks. Build and maintain AI-powered workflows. Design and ship repeatable automation: incident thread summarization, postmortem draft generation, follow-up triage, severity classification, and data hygiene workflows. Turn one-off experiments into durable systems that compound over time. Keep improving them. Build and sustain the IC community. Grow and maintain a community of practice for Incident Commanders and Support Leads. Run regular touchpoints, share learnings across incidents, and coach responders on what good looks like. You are a resource others come to — not just a system operator. Operate data and reporting systems. Build, maintain, and troubleshoot dashboards and reports (Databricks, Grafana, Looker). Ensure data quality, field completeness, and metric accuracy. Surface trends and operational signals to the Incident Program Manager before they become problems. Maintain documentation and enablement assets. Keep playbooks, templates, and incident guides current and usable under pressure. Flag gaps where program-level guidance needs updating. Be the go-to resource for questions about tooling and process. Drive continuous improvement. Participate in incidents and postmortem reviews. Identify patterns across incidents. Implement improvements based on hands-on observation. Surface recurring friction to the Incident Program Manager with recommended solutions, not just problems. Partner across the org . Incidents touch Engineering, Support, GTM, Legal, and Finance. You coordinate across these teams without needing the Program Manager to broker every conversation. You know who to loop in, when, and how to communicate what they need to act. Support the incident program at scale. As the program expands to cover Support, Legal, PR, and Finance, help onboard and enable new stakeholder groups. Build the infrastructure that lets the program run self-sufficiently — including during your own PTO. Our Stack & Tools Incident tooling: incident.io , PagerDuty, Slack Data & Reporting: Databricks, Grafana, Looker, SQL Observability context: Datadog, Grafana, Prometheus, Opensearch, Graylog Collaboration: GitLab, Coda, Google Workspace, Jira, Zendesk AI tooling: Cursor, Zapier AI, Claude, or equivalent Experience and