Top Tech Jobs & Startup Jobs in NYC, NY

Own Airbnb’s brand voice and editorial guidelines while shaping AI-assisted content production. Train and evaluate language models, review AI-generated copy, establish scalable editorial QA processes, and translate brand standards into prompts and training examples. Partner with Marketing Technology, Legal, Trust, and Localization teams to develop editorial tools, ensure global consistency, mentor creative talent, and maintain high standards for brand-accurate language across marketing and product surfaces.

Build and operate Airbnb’s content management systems, including authoring tools, workflows, integrations, analytics, auditing, and AI-assisted features. Own and extend the Contentstack headless CMS using React, TypeScript, and Node.js. Lead complex projects across multiple workstreams, design scalable and fault-tolerant systems, improve reliability and security, mentor engineers, document technical decisions, and collaborate with product, engineering, and content teams.

Lead global launch and scaling of new travel-adjacent service categories by developing end-to-end program plans, coordinating cross-functional teams, performing SQL-based analytics and financial modeling, defining KPIs, sourcing supply strategies, and building operational processes to enable rapid, scalable growth.

Manage Airbnb’s supplier onboarding and risk management programs, including tools, processes, compliance monitoring, and supplier experience improvements. Lead procurement technology implementations and transformational initiatives, collaborate cross-functionally with Finance, Security, Sourcing, and operations teams, and provide expertise in source-to-pay, regulatory assessment, automation, AI, and procurement transformation. Measure operational health, communicate risks and progress, and recommend process enhancements aligned with business needs.

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.

Lead development of cutting-edge LLM and Agentic AI systems for Airbnb customer support, from research and prototyping to production deployment. Collaborate with product, design, and engineering to build scalable ML infrastructure, improve model performance, and implement evaluation, fine-tuning, and guardrails for chat and voice assistants.

Own Airbnb’s internal platform strategy and roadmap for Supply operations tooling, including case and workforce management systems. Translate operational workflows into scalable, measurable products; design AI and human-in-the-loop processes; define requirements; write product briefs; and drive delivery, adoption, and outcomes across engineering, product marketing, operations, and senior leadership. Manage capacity planning, queue distribution, forecasting, SLAs, performance measurement, and build-versus-buy decisions.

Analyze frontline operations performance across specialists, queues, vendors, and sites. Identify root causes behind SLA, AHT, accuracy, and utilization changes; quantify impacts; monitor emerging issues; and provide actionable recommendations to operations leadership. Define requirements for specialist metrics and dashboards, collaborate with analytics and support teams, explain findings in business reviews, and use AI analytics tools to accelerate investigations.

As a Staff Software Engineer in Infrastructure, you will lead a team in building high-performance, distributed systems, guide project direction, mentor engineers, and improve data ingestion architecture.

Provides hands-on technical leadership for foundational data engineering and analytics engineering. Owns multi-year data architecture, production pipelines, dimensional models, and trusted metrics spanning cloud costs, traffic, infrastructure, and AI usage. Designs new datasets integrating cost, utilization, performance, and reliability signals; establishes standards, coaches engineers, aligns stakeholders, and drives adoption across Infrastructure, Finance, Data Science, and Product Engineering.