Top Tech Jobs & Startup Jobs in NYC, NY

The Data Engineer will manage and develop data warehousing solutions, implement ETL processes, and utilize SQL for data analysis and reporting. Experience in analytics tools and communication is essential.

Support finance and credit teams through deal processing, contract preparation/review, and timely product delivery. Reconcile transactions, own quarterly reporting and month-end close, partner with auditors, resolve account/invoice discrepancies with clients and vendors, and help document policies and procedures. Collaborate cross-functionally and support ad hoc projects. Requires office presence in New York at least four times weekly.

The Senior Product Strategist will design and execute research, translate insights into product direction, and collaborate closely with design teams.

The Founding Engineer will build and scale infrastructure, optimize backend services, and define best practices for AI systems in a legal tech environment.

The Business Analyst will utilize 8 years of experience, specifically in the Credit Card domain, to analyze business needs and communicate effectively with stakeholders.

The Social Media Director will develop and implement a social strategy to drive growth and engagement, manage content calendars, and lead a team while collaborating across various departments.

The AWS DevOps Engineer will design and maintain AWS infrastructure, automate processes, support CI/CD pipelines, and ensure security and reliability of software solutions while collaborating with cross-functional teams.

Lead and manage US and global payroll operations, ensuring accurate, timely, and compliant payroll processing, strong internal controls, payroll tax and audit support, systems optimization (Workday), and team leadership while partnering with People & Culture and Finance.

Join Tagg Me as a Founding Software Engineer, taking charge of the digital products, scaling the platform, and shaping the technical roadmap while working across frontend and backend technologies.

Responsible for configuring, deploying, and evolving AI-driven agents for enterprise customers, ensuring their needs are met and performance is optimized through troubleshooting and iteration.