Top Tech Jobs & Startup Jobs in NYC, NY

Manage relationships with credit union partners, resolve issues, drive platform adoption, deliver staff training, develop scalable enablement materials, analyze engagement data, support onboarding, and collaborate cross-functionally to improve partner and member outcomes.

Leads the firm's enterprise marketing strategy, brand growth, client acquisition, geographic expansion, and multimillion-dollar budget. Oversees a 15-plus-person marketing organization across digital, paid media, traditional advertising, creative, content, public relations, and social channels. Establishes performance metrics, attribution, automation, vendor relationships, and cross-functional alignment while developing bilingual and multicultural campaigns. Presents marketing performance and growth recommendations to executive leadership.

Build and maintain a scalable AI travel management platform. Responsibilities include designing observability, monitoring, alerting, and reliability systems; managing and upgrading AWS infrastructure across environments; developing concurrent software; designing scalable database models; improving deployment speed; and contributing to backend architecture, security, testing, documentation, and software engineering standards.

Build and scale AI-powered financial tools using LLMs, generative AI, heuristics, document extraction, transaction tagging, embeddings, and vector search. Improve evaluation pipelines, prompt tooling, AI infrastructure, and human-in-the-loop systems for bookkeeping and financial workflows. Collaborate with product, design, engineering, and operations to deliver reliable AI experiences using messy real-world data.

Conduct frontier AI detection research under mentorship, selecting a topic such as adversarial robustness, interpretability, multimodal detection, agentic AI detection, or AI-generated training data. Interns are expected to develop research suitable for publication at a major AI conference, train neural networks, and contribute to novel AI detection methods.

Partner with Eagle’s founders across acquisitions, post-acquisition integration, and company operations. Build trust with engineering-firm owners and leaders, manage integration workstreams, support deal relationships from initial contact through close, and help with recruiting, logistics, and administration. The role combines M&A, strategic operations, and on-site implementation, requiring strong communication, persuasion, resourcefulness, frequent travel, and daily use of AI tools.

Lead and execute David Webb's global marketing strategy and day-to-day communications. Manage high-luxury events, media and influencer relations, branded content production, PR, and digital comms. Grow awareness and mailing lists, measure ROI of activities, partner cross-functionally with merchandising, sales and operations, and build a lean, effective worldwide marketing capability from the NYC headquarters.

Designs secure, scalable enterprise AI architectures spanning data pipelines, AI/ML platforms, model selection, enterprise integrations, governance, privacy, security, and regulatory controls. Establishes foundations for MLOps, CI/CD, model lifecycle management, observability, monitoring, and evaluation, helping move AI solutions from proof of concept to production across regulated industries.

Own and scale Rebar’s cloud infrastructure and production operations across AWS and Kubernetes. Responsibilities include improving infrastructure and application performance, managing SOC 2 controls, implementing observability, completing environment partitioning, optimizing cloud spending, maintaining CI/CD, and mentoring engineers. The role requires operating distributed systems, containerized workloads, and production cloud environments while supporting migrations and continued company growth.

Own technical strategy for enterprise FedRAMP cloud infrastructure sales opportunities. Lead discovery, demonstrations, technical evaluations, proof-of-concepts, deployments, integrations, troubleshooting, and customer validation across observability, cloud-native infrastructure, security, and application environments. Partner with Account Executives and internal teams to address technical risks, communicate business value, and drive opportunities to successful technical close.