Top Tech Jobs & Startup Jobs in Charlotte, NC

Own and scale Airbnb's finance accounting platform: define roadmap, prioritize requests, onboard new products end-to-end, align engineering and finance, ensure data accuracy and monitoring, support month-end close, and automate manual workflows to improve financial data reliability and timeliness.

Lead the Payments Insights Analytics team, utilizing data and AI/ML for strategy execution, operational excellence, and stakeholder communication.

Lead backend architecture and apply AI to Airbnb's communication and partner-integration platforms. Build scalable notification and messaging systems, collaborate cross-functionally, write production code, perform design and code reviews, and mentor engineers.

The Staff GenAI Backend Engineer leads engineering for intelligent routing systems, collaborates with teams to enhance customer support, and maintains architectural integrity in a high-availability environment.

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 a team to identify and mitigate fraud and abuse through proactive threat analysis, SQL/Python investigations, dashboarding, cross-functional countermeasures, incident response, and automation to reduce fraud loss and strengthen platform defenses.

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.

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

Design and evaluate causal inference experiments and causal ML models to measure product impact, optimize resource allocation, and inform support operations. Build, deploy, and iterate statistical/ML models, analyze tradeoffs, collaborate cross-functionally, and communicate insights to influence decisions and scale data science capabilities.

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.