Top Tech Jobs & Startup Jobs in NYC, NY

The Sales Development Representative (SDR) is responsible for qualifying potential leads through outbound calling, creating new revenue pipelines, and scheduling meetings with Account Executives. The role requires excellent communication skills, adaptability to a startup culture, and a drive to succeed, with opportunities for fast-track promotion based on performance.

As a Customer Success Manager, you will foster relationships with Fortune 500 customers, driving their adoption and success with Hearsay and Yext solutions. Your role involves consulting with C-level executives, identifying growth opportunities, overseeing best practices, and collaborating with sales for renewals and upsells.

The Underwriting Spring Internship at Biz2Credit involves learning the fundamentals of small business underwriting, performing financial analysis, and determining credit quality. Interns will work with Team Leaders to analyze financial information, conduct detailed financial assessments, and gain foundational underwriting training in preparation for future roles within the organization.

As an Enterprise Customer Success Manager at Monte Carlo, you will lead relationships with key enterprise clients, managing their journey from onboarding to value realization. You will partner with Account Executives to develop growth strategies, deliver business reviews, and ensure customers achieve maximum value from the data observability platform.

You will lead large-scale software development projects, optimize a data-heavy platform for speed and scalability, conduct user research to improve user experience, and work closely with the CTO to impact the product roadmap.

As a Senior Sales Manager, you will lead a team of Account Executives while personally engaging in closing strategic SMB deals. Your responsibilities include managing and developing the sales team, refining sales strategies, and building relationships with senior leaders in Accounting and Finance.

The Data Engineering role involves designing and developing robust data pipelines, building scalable data warehouses, optimizing SQL queries, automating data processing, and collaborating with data scientists. This position also requires monitoring data integrity and documentation of processes.