Job Description
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
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 a Senior Staff Engineer in Operations, you will lead and mentor a high-performing team to scale our AI-enabled operations model and deliver AIOps solutions that streamline operational workstreams and help BizTech teams focus on their core work with confidence. Ops owns triage and resolution, proactive monitoring across networks, systems, applications, and cloud services via a homegrown observability platform, and drives process excellence through automation and shift-left programs. You will set the technical bar, model operational excellence, and ensure high-quality, reliable service.
- Your scope includes leading projects across multiple products and platforms, delivering world-class outcomes that create customer and community value while balancing near- and long-term needs.
- You will own the AIOps vision, strategy, and roadmap, partnering with the in-house Observability platform owner to leverage infrastructure and data for accurate, correlated insights that streamline Operations. You’ll drive execution by setting priorities, building accountability, and collaborating effectively across teams. You will partner with BizTech engineering teams to improve service efficiency and security, and lead 1–3 year operations architecture planning to connect production systems and improve compatibility and stability.
- You will identify and eliminate recurring issues through scalable automation, improving operational performance and productivity. You’ll also lead the development and maintenance of testing and monitoring tooling to ensure automation platforms run reliably.
- You will be accountable for the quality and reliability of BizTech services, including validating postmortems, driving root-cause analysis, and ensuring corrective actions are implemented.
A Typical Day:
- You’ll lead technical strategy and discussions, partnering with Operations peers and cross-functional BizTech teams to build AIOps and automation solutions.
- You’ll stay on top of tasks, engagements, and team interactions—active collaboration is key to success.
- You’ll work in sprints, delivering project work across coding, testing, design, documentation, and operational readiness reviews.
- You’ll dedicate part of each day to core Operations work, triaging tickets, spotting patterns, and driving scalable fixes that improve efficiency.
- You’ll participate in an on-call rotation, leading high-severity incident response as both incident commander and operations engineer.
Your Expertise:
- 15+ years of experience across AIOps, data catalog architecture, product development, and/or Technical Operations infrastructure.
- Strong SDLC experience, including infrastructure as code, configuration management, distributed version control, and CI/CD.
- Deep expertise in complex enterprise infrastructure, especially cloud (AWS and/or Google), with a focus on AI/automation, data catalog architecture, workflows, and correlation.
- Solid understanding of corporate infrastructure and applications to translate into AIOps requirements and integrations.
- Proven ability to lead cross-team, cross-org delivery of large-scale, technically complex, ambiguous initiatives that anticipate business needs.
- Proficient in Python or Go.
- Experience building API integrations and event-driven architectures (e.g., AWS Lambda/SQS).
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.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: [email protected]. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
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
$212,000—$265,000 USD
