Top Tech Jobs & Startup Jobs in NYC, NY

Lead the Virtual Card platform product team to define multi-year roadmap and build backend capabilities across the spend lifecycle (creation, authorization, settlement, updates). Partner with engineering and business teams to deliver modular, scalable integrations with internal and external systems, simplify processes, and leverage AI to improve efficiency and delivery. Hire and mentor product managers and balance technical dependencies with commercial priorities to drive resilient, customer-focused payment experiences.

Lead product strategy and execution for Travel engagement and payments data domains. Define schema standards, prioritize outcome-based roadmaps, partner with engineering on data pipelines for human and AI experiences, and champion data governance, observability, quality, and risk-conscious centralization to enable scalable platform use.

Support process-based risk assessments across Enterprise Services, identify and mitigate process-level risks, advise stakeholders, research emerging regulatory and technology risks, draft deliverables, manage multiple projects and workstreams, and drive process and controls improvements to strengthen the company's risk posture.

Lead design, develop, deploy, and support large-scale AI systems (foundation model training, LLM inference, vector search, guardrails, observability). Partner cross-functionally to optimize performance, scalability, and cost, and shape long-term foundational AI technical vision and roadmap.

Lead full‑stack engineer responsible for owning a portfolio of cloud-based, microservices solutions, mentoring developers, collaborating with product managers, and delivering scalable systems using modern languages, containers, and AWS tooling to meet regulatory and customer needs.

Lead a team to analyze large-scale datasets, build and validate models, improve reporting and operational efficiency, design data/storage systems, run strategic tests, and collaborate across business units to drive analytics strategy and customer experience.

The role involves leading AI product development, working with cross-functional teams to enhance AI systems, and optimizing large-scale production AI systems.

Lead product strategy and execution for multi-user customer data experiences across backend architecture and data ecosystems. Collaborate with PMs, designers, engineers, and data scientists to build scalable, real-time data products that enable caregiving, fraud protection, and faster access to funds. Drive product discovery, define requirements, and deliver consumer-facing digital solutions that align with business objectives.

Lead product vision and delivery for the Bank Marketing adtech stack, managing cross-functional teams of strategists, product managers, and engineers to build personalized, measurable digital marketing experiences. Drive technology-driven solutions, experimentation, automation, and measurement to improve marketing efficiency and growth.

Lead a team and portfolio delivering cloud-native, full-stack, microservices-based solutions to meet regulatory and customer needs. Collaborate with product managers, mentor engineers, and build scalable applications using JavaScript/Java/TypeScript/Python/Go, RDBMS and NoSQL, Docker/Kubernetes, and AWS while adopting emerging AI tooling.