Top Tech Jobs & Startup Jobs in NYC, NY

The Senior Backend Engineer will lead client projects, build AI solutions, and develop technical standards while mentoring junior engineers.

Lead the research and implementation of post-quantum cryptography protocols; collaborate with engineers, produce research outputs, and define security measures for cryptographic changes.

The Enterprise Partnerships Lead will drive institutional adoption of prediction market infrastructure by managing strategic enterprise relationships and navigating technical and regulatory conversations.

The Sales Representative will leverage their network to sell Executive and Virtual Assistant services, identifying and pursuing new business opportunities while maintaining client relations.

Sell Humanly's AI-powered recruiting platform to enterprise customers, manage complex consultative sales cycles, build enterprise pipeline, align solutions with HR/IT stakeholders, drive pilots and integrations, and meet revenue targets through cross-functional collaboration.

Develop and optimize ultra-low-latency, high-performance trading infrastructure in modern C++. Implement and tune order execution, market data connectivity, multi-threaded systems, and risk modules. Profile and benchmark real-time systems, collaborate with quants and traders, and maintain robust, fault-tolerant continuous trading operations.

The Senior Digital Advertising Strategist manages accounts, leads digital ad campaigns, optimizes strategies, mentors junior staff, and identifies new opportunities.

The Growth Manager will drive user engagement and revenue growth, executing go-to-market strategies focused on developers and strategic partners.

The Enterprise Account Executive will manage full-cycle enterprise deals, work with senior leaders, and build account plans for strategic customers.

Provide hands-on technical support and escalation for AI security products, troubleshoot complex network/security issues (proxies, endpoints, firewalls, IDS/IPS, VPNs), mentor TSE team, manage SLAs, develop documentation and training, collaborate with engineering/product, assist deployments, and analyze support metrics to improve processes.