Top Tech Jobs & Startup Jobs in NYC, NY

Build and lead the BDR function: hire and ramp reps, design the outbound and inbound prospecting playbook, instrument and iterate the pipeline, and align BDR motion with Sales and Marketing to convert developer-led demand into enterprise pipeline.

Design and develop scalable backend infrastructure for Fireworks AI's generative AI platform, focusing on reliability, performance, and model quality optimization.

Lead strategy and execution for ERP, billing, revenue, and financial integrations. Architect systems and controls, drive automation and ERP transformations, partner with Accounting/FP&A, ensure SOX-ready configurations, and optimize order-to-cash, procure-to-pay, and record-to-report processes.

Lead the Data Science function to innovate AI-powered identity and compliance solutions, managing a high-performing team and developing advanced ML systems.

As a Content Marketing Manager, you'll create and optimize diverse content, support thought leadership initiatives, and collaborate with teams to enhance brand messaging and market growth.

Lead the rollout of new cellular networks, ensuring operational standards and user experience. Manage project plans, troubleshoot issues, and document processes.

The Telecommunications Architect role involves designing and implementing core networks, ensuring reliability and interoperability while driving security innovations for a privacy-centric cellular service provider.

The Technical Program Manager will oversee complex projects across engineering and product teams, ensuring timely delivery and operational excellence while handling roadblocks and customer needs.

The Senior Software Engineer will develop AI-powered product experiences, manage features from inception to launch, and integrate various enterprise tools, ensuring product quality and user satisfaction.

Build and own production AI systems for legal workflows, including retrieval, document understanding, agentic LLM systems, evals, and data pipelines. Collaborate with engineers, lawyers, designers, and customers to translate legal judgment into reliable, usable product behavior.

Work directly with customers to build, deploy, and iterate AI-driven scheduling and voice agents. Own end-to-end implementations, ship production code, tune agents in production, debug integrations/LLM behavior, and translate field insights into product improvements and account growth.

Lead deployment, performance, and reliability of AI agents in healthcare; architect and scale full‑stack systems integrating with EHRs and voice infrastructure; drive technical strategy, mentor engineers, ensure HIPAA‑compliant practices, and shape the product roadmap.

As a Business Development Representative, you will generate qualified pipeline through cold outreach, manage inbound interest, and collaborate with account executives in the sales cycle.

The Customer Solutions Manager at Foundation AI oversees post-launch customer experiences, optimizing workflows, driving adoption, and ensuring measurable value for clients, particularly in the legal sector.

The Senior Business Development Executive is responsible for identifying new business opportunities, managing sales pipelines, delivering product demos, and achieving sales targets in the payments industry.

The Product Marketing Manager will develop go-to-market strategies, manage product launches, analyze market trends, and create impactful marketing campaigns for Cybex's car seat portfolio.

The Senior Cloud Engineer will build and operate multicloud infrastructure across AWS, GCP, and Azure while optimizing performance and reliability for AI systems.

Design end-to-end web, desktop, and mobile product experiences. Create wireframes, prototypes, high-fidelity designs, and production-ready specs. Develop and maintain scalable design systems. Conduct user research, collaborate with engineers and product teams, define and deliver features, and influence product strategy while simplifying complex AI-enabled workflows.

The Senior Engineer will build and operate production infrastructure across AWS, GCP, and Azure, focusing on scaling, reliability, and performance for AI systems.