Top Tech Jobs & Startup Jobs in NYC, NY

As a Marketing Project Manager, you'll lead complex marketing initiatives, manage project execution, ensure cross-functional coordination, and improve operational processes.

Lead the design and execution of total rewards programs in the US, ensuring compensation, equity, and benefits align with market standards and company growth. Partner with leadership to attract and retain top talent, adapting global strategies to local needs.

The Senior Network Engineer will design, manage, and optimize large-scale data center networks for AI workloads, ensuring reliability and performance.

As a Technical Project Manager, you will manage a defined workstream within data center and GPU infrastructure programs, coordinating with various teams to ensure timely delivery and quality. You'll work hands-on with infrastructure elements and manage dependencies and risks effectively.

Lead US-market indirect procurement focusing on Marketing, HR, and professional services. Manage RFPs, supplier selection, contract negotiation, vendor performance, cost optimization, and cross-functional stakeholder collaboration to meet procurement KPIs and compliance.

Lead end-to-end delivery of large-scale network infrastructure projects for AI/GPU-dense environments. Plan, coordinate, and roll out network stack deployments, manage cross-functional teams, mitigate risks, and ensure scalability, reliability, and production readiness while reporting progress to technical and executive stakeholders.

Design, implement, and optimize enterprise wired, wireless, and VPN networks for the US region. Lead cross-region connectivity, manage VPN capacity and resiliency, deploy automation and monitoring, diagnose complex incidents, perform root cause analysis, evaluate new technologies, and coordinate with telecom providers to manage SLAs and escalations.

As a System Engineer, you'll design, deploy, and maintain cloud systems for AI workloads, troubleshoot complex issues, and collaborate with teams to optimize performance.

Senior ML research leader who translates state-of-the-art ML pipeline insights into product requirements, reference architectures, benchmarks, and platform roadmaps. Partners cross-functionally and with strategic customers and research institutions to set evaluation standards, reproducibility, and responsible ML practices while providing technical leadership and influencing product and executive audiences.

Design, build, and maintain backend systems for metrics and monitoring, collaborate across teams, and debug production incidents.