Top Tech Jobs & Startup Jobs in NYC, NY

Conduct applied AI research and build foundation models from design through training, evaluation, validation, and production implementation. Collaborate with data scientists, engineers, and product managers to deliver AI-powered products at scale. Research emerging methods, optimize large deep learning models, translate technical findings into business outcomes, and contribute to technical reports and conference publications. The role requires advanced expertise in foundation models, deep learning, optimization, NLP, or fine-tuning.

Lead the strategy, vision, and product team for enterprise AI/ML platforms supporting model training, model serving, and generative or agentic AI applications. Partner with platform leaders to build integrated capabilities, improve user experiences for data scientists and developers, drive adoption, and deliver business value. The role requires technical product leadership, AI/ML expertise, cross-functional influence, and people management.

Leads product strategy and growth for Promotional Financing and Product Swaps partner-facing products. Owns product vision, customer experience, technical operations, partner integrations, and core capability improvements. Serves as Product Owner for a hybrid internal and external engineering team, translating business strategy into digital products and coordinating cross-functional execution.

Leads enterprise collaboration product strategy across virtual meeting tools, Salesforce, and an AI prototyping and publishing platform. Owns product vision, roadmaps, platform scalability, and zero-to-one launches while partnering with technology, design, risk, and cybersecurity teams. Builds and develops a high-performing product management organization, drives executive alignment, and delivers intuitive collaboration experiences for over 100,000 associates.

Leads cloud-based software engineering projects and developer teams, building resilient full-stack systems with distributed microservices, APIs, databases, containers, and public cloud technologies. Establishes engineering standards, partners with architects and product managers, improves system performance, reduces technical debt, mentors engineers, and influences long-term technology strategy through emerging tools, automation, observability, and operational excellence.

Leads product design strategy and execution for complex, human-centered initiatives. Manages and develops designers, shapes product direction, collaborates with product, technology, and business leaders, and advocates for user needs through research, data, design systems, prototypes, and strategic communication.

Leads product management for machine learning and AI capabilities, defining customer-focused problem statements, prioritizing infrastructure and model delivery roadmaps, establishing success metrics, and guiding technology design. Partners with data science and engineering teams, facilitates agile delivery, communicates long-term vision, manages risks, recruits talent, and mentors product associates.

Leads applied AI research and teams developing foundation models and production-scale machine learning systems. Sets research strategy, mentors applied scientists, partners with engineering and product leaders, and translates advanced AI research into customer-facing products. Requires expertise in large-scale deep learning, LLMs, optimization, model deployment, research publications, and organizational leadership.

Leads large-scale cloud-native and distributed systems engineering initiatives, guiding multiple technology projects and development teams. Designs and implements resilient, high-performance full-stack solutions using modern programming languages, databases, containers, and cloud platforms. Provides technical leadership on architecture, platform roadmaps, reliability, observability, coding standards, and enterprise technology strategy. Mentors engineers, collaborates with product and architecture leaders, and drives cross-functional technical initiatives.

Leads data science efforts for foundational AI and automation across a global payments network. Partners with data scientists, engineers, and product managers to develop scalable machine learning engines, AI agents, merchant intelligence, and risk solutions. Serves as an NLP and LLM domain expert, fine-tuning and deploying models using PyTorch, AWS, vector databases, and modern AI technologies. Translates complex ML work into business value while mentoring teams and delivering production-scale platforms and solutions.