Jobs / United States / Airbnb
Business Systems Engineer, Tech Foundations
Airbnb · 🇺🇸 San Francisco, CA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 167 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 71 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Airbnb paid sponsored hires in similar roles3 certified filings for “Analytics Engineer” (Computer Systems Analysts) in CA: $175k–$200k, median $200k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Airbnb
The US Department of Labor certified 167 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 71 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Airbnb →
About the role
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 AirSupport is Airbnb’s global IT Support organization, focused on helping employees stay productive and get the technology support they need. Our goal isn’t simply to handle tickets better — it’s to make more of them unnecessary. We’re transforming the employee support experience by using data, AI, and automation to remove friction, enable seamless self-service, and deliver high-fidelity human support when it’s needed. You will join the team responsible for shaping the IT self-service experience, working closely with partners across Product, Engineering, Knowledge, and our global IT Support organization. The Difference You Will Make We are looking for a Business Systems Engineer within IT Support, focused on the design and delivery of capabilities that improve how employees get technology help. You will bring a deep understanding of IT Support workflows, employee journeys, operational signals, and business needs to our partnerships with Product, Engineering, and other technology teams, turning them into clear requirements and effective solutions. Your initial focus will be advancing the next generation of AI-enabled and conversational self-service for IT support use cases . You will own the definition of requirements and success criteria for your areas of responsibility, working directly with the teams responsible for broader enterprise AI capabilities to ensure IT Support needs are understood and effectively delivered. We are looking for someone who can move comfortably between strategy and execution — someone who asks why, challenges assumptions, understands system dependencies, and brings clarity to ambiguous problems. A Typical Day • Own defined IT self-service features and delivery workstreams, translating business needs into requirements and driving them through design, testing, launch, and ongoing improvement. • Translate IT Support strategy and priorities into functional and technical requirements, user stories, process flows, acceptance criteria, and implementation plans. • Work directly with Product, Engineering, and business stakeholders to align on requirements, solution design, delivery timelines, testing, and readiness for changes within your area of ownership. • Analyze potential self-service use cases and recommend improvements based on employee impact, operational needs, available data, and technical considerations. • Apply practical AI and conversational technology expertise to evaluate self-service experiences for accuracy, failure patterns, and appropriate escalation or handoff to human support. • Define and monitor success measures for the capabilities you support, using product data, employee feedback, and operational signals to identify opportunities for optimization. • Develop a strong understanding of the systems supporting the IT self-service experience, including integrations, APIs, data flows, identity and permissions, automation, and platform dependencies; identify risks, interdependencies, and relevant security and privacy considerations, and partner with technical teams on appropriate solutions. • Partner with the Strategic Knowledge program to ensure self-service solutions effectively leverage the knowledge ecosystem and account for the dependencies needed to deliver accurate, useful employee experiences. • Identify patterns across unsuccessful or incomplete self-service interactions and recommend im