Top Tech Jobs & Startup Jobs in Chicago, IL

Build and deploy advanced machine learning and agentic AI systems that improve Airbnb’s customer service experience. Responsibilities include developing AI assistants, integrating ML products, optimizing model performance, applying LLM techniques such as fine-tuning and RAG, building multi-agent architectures, and shipping scalable production ML systems. The role collaborates closely with Engineering, Product, and Design teams and contributes to emerging AI initiatives from concept through production.

Lead the Kyber prototyping and rapid deployment platform, setting technical direction, rebuilding it on next-generation cloud infrastructure, and scaling it for thousands of internal users. Responsibilities include hands-on coding, architecture, product integration, cross-functional collaboration, improving tools for non-technical builders, and mentoring engineers.

Own the health, performance, compliance, and growth of Airbnb’s global hotel connectivity partner network. Support PMS, CRS, channel manager, and other integrations; troubleshoot technical issues; communicate API updates and deprecations; develop partner resources; analyze data to identify opportunities; and collaborate on projects supporting commercial goals. The role also involves partner education, stakeholder engagement, external meetings, and industry events.

Leads global growth strategy and business operations for Airbnb Experiences. Owns demand strategy across priority markets, drives cross-functional programs, translates analytics into operational plans, and aligns product, finance, marketing, supply, communications, and other teams. Develops go-to-market initiatives, tests growth experiments, improves processes, prioritizes investments, and influences stakeholders to scale new business initiatives efficiently.

Manage the Dev AI engineering team building AI infrastructure, developer tooling, agentic coding tools, workflow platforms, SDKs, and AI-assisted migration systems. Shape technical strategy, partner with senior engineering leaders, evaluate emerging AI technologies, consult with internal teams, build stakeholder relationships, and coach distributed engineers. The role emphasizes developer productivity, cross-functional collaboration, rapid experimentation, and measurable impact across Airbnb.

Provides global privacy legal advice for Airbnb’s payments and insurance products, including financial data privacy, payment processing, fraud prevention, insurance coverage, commercial contracts, data governance, and regulatory compliance. Partners with legal, compliance, product, and privacy operations teams to manage risks across global markets and translate complex privacy and financial regulations into actionable product guidance.

Develop marketplace intelligence, forecasting, ranking, recommendation, personalization, and experimentation models for Airbnb’s search and marketplace products. Partner with product and engineering teams to launch AI-driven improvements, build scalable modeling pipelines, evaluate product changes, and guide technical direction. The role requires causal inference, machine learning, strong SQL and Python or R skills, cross-functional communication, and autonomous leadership of data science roadmaps.

Lead Airbnb’s social features product pod, owning strategy, roadmap, execution, experimentation, and outcomes for travel maps, group travel, sharing, recommendations, and social connections. Partner with engineering, design, data science, and program management to prototype, launch, and iterate consumer features that increase planning, booking, sharing, engagement, and retention. Define requirements, review product details, establish metrics, protect trust and privacy, and communicate strategy and results to leadership.

Build and operate Airbnb’s large-scale NewSQL storage platform on stateful Kubernetes. Responsibilities include database kernel performance, storage and query internals, replication, CDC, failover, migration tooling, observability, permissions, and service discovery. Engineers investigate production incidents, improve reliability and latency, contribute to open-source database systems, and collaborate across storage, SRE, ORM, and interface teams.

Leads people analytics research using causal inference, quasi-experimental methods, statistical modeling, and large workforce datasets. Partners with Recruiting, Compensation, Talent, Legal, and business leaders on hiring, retention, promotion, pay equity, quality-of-hire, and organizational effectiveness. Translates research into visualizations and actionable decisions, leads compensation analytics and governance reporting, and uses AI tools to accelerate analysis and synthesis.