Top Tech Jobs & Startup Jobs in NYC, NY

Plan and optimize US e-commerce marketing campaigns across paid media, email, SMS, product pages, landing pages, and promotions. Track ROAS, acquisition costs, conversions, and repeat orders while reporting performance recommendations. Create and coordinate marketing content, appear in video campaigns, and ensure telehealth and prescription-product marketing complies with FDA, FTC, and platform requirements.

Lead Dwellci AI’s technical vision, engineering organization, AI model development, and scalable 3D generative design platform. The CTO will establish architecture and engineering practices, build and mentor an AI team, guide product innovation, collaborate with founders and designers, engage investors, and advance generative AI, computer vision, and computational design capabilities for architecture.

Supports paid influencer marketing campaigns through creator research, list-building, outreach, scheduling, campaign briefing, content tracking, trend monitoring, mailer program coordination, gifting research, and administrative documentation. The internship is based in New York and requires in-office availability during the Winter 2027 term.

Lead Intelligence, Reporting, and AI product teams; define product strategy and roadmaps; manage and coach Product Managers; use customer insights, metrics, market analysis, and emerging technologies to prioritize products; and collaborate with Engineering, Design, Sales, Support, executives, investors, and restaurant clients to deliver innovative solutions.

Own Accounting Intelligence and DualEntry’s AI platform, including the agent framework, retrieval, shared AI services, and evaluation systems. Set the roadmap, define technical trade-offs with engineering and design, and drive outcomes such as retention, activation, and expansion. Ship customer-facing LLM and agentic features, engage customers weekly, prototype solutions, write specifications, and improve team processes and tooling.

Manage a portfolio of North American clients, driving international e-commerce growth, retention, revenue expansion, and customer satisfaction. Build trusted relationships with executive stakeholders, analyze performance and market trends, deliver business reviews, recommend growth strategies, coordinate cross-functional initiatives, and monitor account plans. The role also supports product enhancements and identifies opportunities to improve conversion, responsiveness, and long-term client success.

Owns enterprise AI assistant platforms, including administration, licensing, access, support, adoption, reporting, cost management, release evaluation, connector and agent governance, and risk coordination. Partners with IT, identity, cybersecurity, legal, procurement, finance, and vendors to securely configure and operate AI services. Provides user training, technical documentation, leadership briefings, usage and cost analysis, and first-line support for products such as Microsoft 365 Copilot, Claude, Gemini, and ChatGPT Enterprise.

Manages a dealership portfolio to achieve sales and productivity goals. Develops customized action plans, coaches service advisors, trains dealership staff, and collaborates with stakeholders on product selection, inventory, and pricing. Maintains dealer relationships and contact schedules, tracks account activity in Salesforce, negotiates and closes deals, and shares industry best practices. The role requires extensive driving and travel to customer accounts.

Build AI-assisted, production-ready full-stack applications from concept and prototype through deployment, with a strong frontend focus. Develop accessible React, Vue, and Nuxt interfaces aligned with design systems, implement backend APIs and services, manage SQL and NoSQL databases, and optimize authentication, caching, performance, and scalability. Collaborate with designers and innovation teams while using AI design tools, Figma, specification-driven workflows, and cloud deployment practices.

Owns customer relationships from onboarding through adoption, expansion, and renewal. Maps workflows and data, identifies high-value AI opportunities, translates needs into implementation requirements, partners with product and engineering on deployments, leads rollout and adoption, tracks customer value, and develops repeatable customer success and deployment playbooks.