Top Tech Jobs & Startup Jobs in NYC, NY

The Lead, Advanced Analytics, Acquisition will analyze data, define metrics, conduct A/B tests, and collaborate with teams to drive growth and insights.

Lead payments analytics by building scalable reporting, causal inference and ML models, designing experiments, partnering with product/engineering/finance to optimize payment processing, reconciliation, and settlement, and translating results into executive recommendations to drive global payments improvements.

Lead cross-functional localization programs from strategy through execution; design and implement scalable, AI-augmented localization and MT solutions; manage integrations with engineering, product, and external language service providers; drive process, tooling, automation, and quality frameworks to improve cost, efficiency, and cultural resonance at global scale.

Lead end-to-end mixed-methods UX research for payments growth: design and run qualitative and quantitative studies, perform statistical analysis and surveys, synthesize insights, influence product and executive stakeholders, and facilitate workshops to drive payments product strategy and improvements.

Lead end-to-end mixed-methods research for 0-to-1 incubation efforts: frame questions, run qualitative and quantitative studies, triangulate data, deliver actionable insights, influence senior stakeholders, and translate findings into product strategy.

The role involves building analytics tools and frameworks to support Airbnb's international growth strategy, requiring deep data expertise and collaboration with various teams.

Lead strategy, planning, and execution to grow Airbnb Monthly Stays globally. Build tools and dashboards, analyze data, provide recommendations to leadership, manage analysts, coordinate cross-functional initiatives, and run scalable projects.

Partner with Community Support leadership to provide strategic financial analysis, build ROI and unit-economics frameworks, evaluate AI and support-model investments, drive forecasting and annual planning, support commercial negotiations, and translate data into executive recommendations across Product, Engineering, Finance, and Operations.

The Principal Machine Learning Engineer will fine-tune and optimize LLMs for various applications, develop AI products, and enhance ML infrastructure in collaboration with cross-functional teams.

Build, evaluate, and deploy LLM/ML models and synthetic datasets to improve Community Support. Identify opportunities via data exploration, analyze structured and unstructured data, automate LLM evaluation, personalize experiences, and collaborate cross-functionally to drive product and operational impact.