Top Tech Jobs & Startup Jobs in NYC, NY

In this role, the Software Engineer II will develop, design, test, and scale new features for mobile and web platforms. They will collaborate closely with design, product, and engineering teams to enhance user experience and solve complex problems. The candidate should be able to lead in scoping and implementing features, ensuring high code quality and performance optimizations.

The Strategic Account Executive is responsible for full-cycle B2B sales targeting large property management companies. This involves generating leads, conducting outreach and nurturing relationships, closing deals, and collaborating with internal teams to optimize sales processes. The role emphasizes a high-performance sales culture with a focus on revenue growth.

As a Senior Data Engineer, you will design and maintain high-quality data infrastructure, develop DBT models, and create scalable data pipelines. Collaborating closely with the Analytics team, you will optimize data operations and manage a secure data warehouse to enhance Flex’s financial products.

The Strategic Account Executive will drive revenue generation by managing full-cycle B2B sales with property management companies. Responsibilities include strategic outreach to generate new business, relationship management, and collaborating with internal teams to enhance sales effectiveness.

As a Principal Data Analyst at Flex, you will identify trends and insights from various data sources to influence business strategy. Responsibilities include creating dashboards, collaborating with different teams, and ensuring data quality while supporting key analytics projects across the company.

Flex is seeking a Senior Software Engineer to work on the Core Platform team, responsible for backend systems and services supporting business features. The ideal candidate will have strong Java experience and will collaborate with product, design, and engineering teams to enhance the rent payment experience for users.

The Senior Data Scientist will develop and implement advanced machine learning models for risk management, focusing on fraud prevention and customer longevity. Responsibilities include managing end-to-end data science projects, collaborating with cross-functional teams, and establishing model governance and monitoring systems.