Top Tech Jobs & Startup Jobs in NYC, NY

Lead engineering teams to design, build, and scale back-end microservices and ML platform infrastructure. Collaborate with product managers and data scientists to deploy cloud-based solutions, mentor engineers, evaluate code, and ensure regulatory and operational needs are met using modern cloud, container, database, and ML tooling.

Research and develop large-scale AI foundation models (design, training, evaluation, validation, deployment). Collaborate with engineers, product and ML teams to apply state-of-the-art methods, optimize training/inference, and translate research into production AI-powered products. Own research agendas and deliver reproducible results and publications.

Lead and grow an AI engineering organization building foundation-model training and LLM-powered production systems. Own design, deployment, optimization, evaluation, governance, and observability of scalable AI platforms; make build-vs-buy decisions across open source and SaaS AI technologies; drive technical vision and mentor engineering teams to deliver responsible, high-performance AI capabilities.

Lead strategy and roadmap for Core HR products, build prototypes and partner with engineering to deliver AI-enabled self-service experiences, manage cross-functional stakeholder relationships, prioritize work, troubleshoot issues, and oversee product launches for Capital One associates and HR business teams.

Lead product efforts for small business bank fraud decisioning: define roadmaps, translate business strategy into digital features, collaborate with designers, engineers and data scientists, and balance fraud prevention with customer experience using data and AI/ML.

Lead strategic, complex projects and programs across enterprise platforms. Own project planning, governance, risk management, stakeholder alignment, and team development to deliver timely business outcomes.

Perform technology and cybersecurity audits of cloud implementations, application controls, and third-party management. Execute test procedures, perform risk assessments, document findings, leverage data analytics, communicate issues and recommendations, and follow up on remediation. Build relationships with stakeholders and continuously develop technical audit skills.

Lead product management for MatchBox, shaping data and product strategy to deliver consistent branding and servicing across customer touchpoints. Work cross-functionally with business, design, engineering, and operations to scale reference data and enterprise platforms, translate strategy into consumer-facing digital products, and drive technology-driven, human-centered solutions.

Build, validate, and implement machine learning models on large, multi-source datasets using Python, cloud, and big-data tools. Partner with engineers and product managers to deliver analytics products, translate technical results into business impact, and apply statistical methods (classification, clustering, time series, deep learning, sentiment analysis).

Lead a team and portfolio of full‑stack, cloud-based projects using microservices. Design and deliver scalable solutions with React/Java, containers, and AWS; mentor engineers; collaborate with product managers; drive tech experimentation and community participation to meet regulatory and customer needs.