Operations Engineer, BizTech

The Community You Will Join:

BizTech fosters culture and connection at Airbnb by providing reliable corporate tools, innovative products, and technical support for all teams. We drive technical breakthroughs and strategies that redefine what it means to belong anywhere, delivering greater value for the business and our people. The Global Operations team at BizTech manages production services across Airbnb’s corporate environment, delivering reliable operations through Observability, Incident Management, Core Operations, and AI-enabled automation.

We partner across BizTech to scale service quality, efficiency, and resilience.

The Difference You Will Make:

As an Operations Engineer, you'll apply AI at the forefront of BizTech's operational health: using LLM-powered triage and intelligent automation to resolve tickets, speed up incident response, and build self-healing observability that catches problems before they escalate. AI fluency is core to this role, not an add-on. You'll prototype agentic workflows, embed AI into runbooks and diagnostics, and continuously look for repetitive work automation can take over.

Success looks like a shrinking backlog of recurring ticket categories through AI-assisted automation, faster MTTR powered by intelligent alerting and root-cause suggestions, and dashboards/reporting enhanced with AI-driven insights that give stakeholders clear, trustworthy visibility into service health and data quality.

A Typical Day:

• Manage the ticket queue prioritizing and resolving requests while identifying recurring categories to automate or deflect
• Participate in a rotating on-call and incident response schedule, including weekends, troubleshooting and documenting issues in real time
• Build and maintain monitoring dashboards (Tableau, Superset, Grafana) that track service health, availability, and data quality, flagging gaps as they emerge
• Use AI-assisted tools (e.g., Claude, Copilot) to speed up triage, root-cause analysis, scripting, and documentation — while knowing when a problem needs hands-on judgment instead
• Write and maintain code in general-purpose languages (Python, Go, JavaScript, TypeScript, Bash) to automate operational workflows
• Partner with global stakeholder teams to drive issues to resolution

Your Expertise:

• 3+ years of experience with observability and metrics tooling (e.g., Prometheus, Grafana, Datadog, ElasticSearch)
• 3+ years working with data querying and pipelines (e.g., SQL, Airflow, Trino, SQS)
• Working knowledge of network fundamentals and hardware (e.g., Cisco, Palo Alto)
• Experience with Infrastructure as Code
• Hands-on experience with CI/CD and automation tooling (e.g., Jenkins, ArgoCD, GitHub Actions) across AWS, GCP, or Oracle Cloud
• Comfort working in ticket/workflow-driven environments using Jira and Confluence
• Experience supporting enterprise SaaS tools (e.g., Salesforce, Workday) and SSO/identity integration (e.g., Okta) is a plus

Your Location

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range

$136,000—$160,000 USD

We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.