Consumer · Travel marketplace
Airbnb currently has 36 active job listings related to Artificial Intelligence. The majority of these roles, 64%, are focused on the agents stage, with application stage roles making up another 22%. The top function for these positions is Engineering, followed by Product. Frequent tech tags include agent_orchestration, llm_observability, and model_serving, suggesting a focus on building and managing AI systems.
Currently tracking 22 active AI roles, with 106 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $117k–$310k (avg $214k).
Airbnb currently has 40 active AI-related roles in our index. The most common open titles are: (Contract) Senior Data Scientist, Platform Inference - MarTech DS Measurement, Lead Analyst, Advanced Analytics, Lead, Advanced Analytics, Hosting Services (Brazil) , Lead, Advanced Analytics, Hosting Services (Mexico), Machine Learning Engineer, Community Support Engineering. Most positions are in Engineering and Product.
Airbnb's active AI hiring is concentrated in: agents (60%), application (28%), evaluation (5%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Airbnb is hiring AI talent in: United States (29 roles), China (4 roles), Brazil (4 roles), India (3 roles).
Job postings at Airbnb most frequently mention: Machine Learning, System Design, Market & Technology Trend Analysis, Statistics, Large Language Models (LLMs).
In the past 30 days, Airbnb has posted 20 new AI-related roles. That is a +54% change versus the prior 30 days (13 → 20).
| Title | Stage | AI score |
|---|---|---|
| Staff Advanced Analytics, Digital & AI Products Staff Advanced Analyst role focused on building and scaling analytical solutions for AI products within the Customer Service organization. This role will partner with product and business leaders to provide insights, drive product analytics, and lead measurement for AI systems, including AI Assistants and agent-assisting tools. Key responsibilities include owning the product analytics roadmap, collaborating with engineering on logging and observability for agentic and LLM workflows, designing and evaluating A/B tests for AI features, and translating insights into strategic recommendations. The role requires expertise in Python, SQL, A/B testing, NLP/ML/DL techniques, LLM architectures, and familiarity with Agentic AI systems and AI observability. | AgentEval Gate | 7 |
| Senior Business Solutions Engineer, BizTech(LegalTech) |
| Agent |
| 7 |