Top Tech Jobs & Startup Jobs in NYC

Seeking a Data Analyst III to join the Revenue Analytics team at Fanatics, focusing on driving business growth through insight generation. Responsibilities include financial forecasting, KPI reporting, and collaborating with stakeholders to drive commercial performance.

Seeking a super star Executive Assistant to work with the creative team, assisting the SVP of Content, Programming & Marketing. Responsibilities include administrative support, preparing materials for business reviews, updating documentation, overseeing intern selection process, and assisting in events and talent support. Requires 1-2 years of experience in Entertainment or Media, proficiency in Microsoft PowerPoint & Keynote, strong Excel skills, organizational skills, diplomacy, and flexibility to work in the NY office 3x a week.

Seeking an organized and proactive associate with 3+ years of tax accounting experience to join our finance team at Arbol. Responsibilities include financial reporting, analysis, audit process, month close, and maintaining the general ledger. Must have a CPA license and strong Excel skills.

Join ASAPP as a Staff Data Engineer to lead the batch analytics team, design and maintain data warehouses, review code, manage Airflow ETL jobs, investigate metric discrepancies, debug queries, and collaborate with cross-functional teams to build scalable data solutions.

As a Sales Development Representative at GWI in NYC, you will be responsible for driving new business by initiating the sales cycle and establishing relationships with potential customers. The role requires excellent communication, cold calling, and organization skills.

Manage competitive intelligence program to provide insights on industry trends and competitors in the crypto and blockchain space. Communicate findings to senior leadership and drive actionable insights for Ripple's strategy and decision-making processes.

As a Staff Software Engineer on the Cash Platform team at Nova Credit, you will lead major technical initiatives, collaborate with stakeholders, mentor engineers, and contribute to the evolution of ML-based cashflow data platform. Responsible for designing and implementing quality controls around ML-powered services and driving tooling improvements for R&D outcomes.