The Senior Software Engineer will design, build, and optimize scalable cloud infrastructure and CI/CD systems to support critical platform services. They will collaborate with cross-functional teams to ensure system reliability, observability, and efficient deployment pipelines.
Design, develop, and maintain high-quality backend services and APIs using Java while ensuring scalability and reliability. Collaborate with cross-functional teams to translate business requirements into secure, performant, and maintainable technical solutions.
Design and implement scalable, high-performance web applications using Next.js and modern front-end technologies. Collaborate with cross-functional teams to deliver secure user experiences while contributing to front-end architecture and engineering best practices.
The Senior Accountant will manage end-to-end accounts payable and support month-end and year-end close processes, including accruals and reconciliations. They will also collaborate with cross-functional teams to ensure financial data accuracy and assist with internal and external audits.
Develop advanced ML-based fraud and risk models to reduce financial loss and safeguard user funds. Collaborate across Risk, Compliance, and Product teams to create risk signals and automate decision-making tools.
Own the end-to-end analysis of payment and chargeback data to identify drivers of financial loss and fraud. Design experiments and build monitoring dashboards to mitigate risk and implement actionable fixes in collaboration with Product and Payments teams.
The role focuses on executing and optimizing paid acquisition campaigns, primarily via Google Ads and Apple Search Ads, to drive efficient business growth. It involves managing budgets, conducting A/B tests, and collaborating with cross-functional teams to improve conversion funnels and reporting.
Drive user growth, engagement, and revenue by designing and executing ML projects and A/B experiments. Partner with product teams to translate business questions into analytical models and actionable product recommendations.
Drive user growth, engagement, and revenue by owning end-to-end product analytics and designing rigorous A/B experiments. Partner with cross-functional leaders to translate complex data insights into actionable product strategy and roadmap prioritization.
Serve as the primary data science partner to the Marketing team to build a measurement foundation and KPI frameworks. Develop core models for LTV, ROAS, and CAC to influence budget allocation and growth strategies.
