Top Tech Jobs & Startup Jobs in NYC, NY

The role involves configuring, troubleshooting, and testing network and virtualization solutions, leading vendor evaluations, and documenting project phases.

As a Lead Data Scientist, you'll leverage advanced analytical methods to solve complex business problems, mentor junior team members, and interact with clients while developing innovative solutions through data analysis and modeling.

The Inside Sales Representative will support quoting and order management, build client relationships, and drive sales operations within IT. Responsibilities include responding to customer inquiries, managing orders, and supporting team members.

The Test Engineer Sr. conducts functional testing, requirements analysis, and system validation for cloud-based systems. Responsibilities include troubleshooting, analyzing metrics for improvements, and supporting cloud architecture validation.

This role involves supporting the Oracle Global Trade Management system, troubleshooting issues, collaborating with teams, and enhancing operational efficiency.

As a Senior Salesforce Developer, you will design and implement solutions on Salesforce platforms, mentor junior developers, and integrate various systems, focusing on continuous improvement and AI literacy.

Lead Solutions Architect responsible for designing and validating enterprise networking solutions (routing/switching, SD-WAN, data center, wireless, identity-based access). Lead discovery, build cost/LoE models, craft proposals/SOWs, manage risk and deal governance, and align cross-functional teams to deliver delivery-ready, commercially defensible solutions.

Lead and develop HCM teams supporting HR, Incentive Compensation, Time & Attendance, and ServiceNow. Define HCM strategy, oversee design/implementation of enterprise solutions, drive cross-functional projects, improve processes, remove impediments, and engage stakeholders to deliver quality, scalable HR technology solutions.

Lead AI-native engineering initiatives: research and prototype AI tooling, build proofs of concept and reference architectures, operationalize tools, coach teams, and drive adoption across the enterprise.

Lead AI-native engineering experimentation and enablement across the enterprise: research and prototype AI tools, build PoCs and reference architectures, operationalize workflows, teach and enable teams, and advise senior stakeholders to scale AI engineering practices.