Top Tech Jobs & Startup Jobs in NYC, NY

Sell and expand payments and cash management solutions to specialty finance and alternative lender clients. Build pipeline, execute account plans, collaborate across product, risk, compliance, operations, and legal to close new business and grow revenue.

Lead design and deliver production-grade trading systems using Python and Java, build AI-native platforms, champion AI-assisted engineering practices, partner with Credit Sales & Trading, support production stability, and drive adoption of secure, automated SDLC and cloud-native solutions.

Lead channel strategy, performance analysis, and optimization for owned digital channels (web, mobile, email). Diagnose LOB performance, create optimization frameworks and governance, drive experimentation and AI/automation adoption, produce executive-ready recommendations, and partner cross-functionally to improve ROI and customer experience.

Lead firmwide technology strategy for Data & AI, build partnerships with cloud and infrastructure vendors and the venture ecosystem, drive innovation adoption, evaluate and scale new technologies, raise internal awareness of Data & AI opportunities, support client-facing business development and strategic investments, and influence senior stakeholders to align partner roadmaps with JPMC objectives.

Lead end-to-end product lifecycle for Kinexys Liink payments network: define product strategy, conduct discovery and market research, own backlog and requirements (including APIs), coordinate cross-functional launches, track success metrics, and drive scalability, resiliency, and ecosystem adoption.

Lead and conduct commercially oriented AI research: formulate problems, develop algorithms and benchmarks, run experiments, produce production-quality Python code, collaborate with engineering and business stakeholders, publish findings, and own strategic research portfolios that drive business impact.

Lead end-to-end product development and lifecycle management for mutual funds within the Six Circles platform. Drive new fund launches, investment design, sub-adviser relationships, regulatory and governance approvals, and cross-functional implementation. Partner with CIO, Legal, Compliance, Middle Office and service providers to enhance products, improve operational scalability, and deliver strategic initiatives supporting platform evolution and client needs.

Support day-to-day execution, tracking, and governance of Marketing AI POCs and pilots. Maintain trackers, statuses, dependencies, and documentation; coordinate working sessions; identify and escalate risks; produce executive-ready status updates and dashboards; manage sandbox intake and approvals; partner with Technology, Data/Analytics, Legal/Compliance, Privacy, Controls, and Risk to deliver responsible AI-driven marketing innovations.

Design, build, and scale NLP and LLM-based solutions across the end-to-end model lifecycle. Partner with product, engineering, operations, and risk to deploy reliable, secure, production-grade systems (search, summarization, classification, recommendations). Monitor models, improve data quality and feedback loops, mitigate ML risks, and communicate technical decisions to stakeholders to reduce agent effort and improve operational outcomes.

Support the Product Manager for Wealth Plan Advisor Experience by identifying opportunities, conducting user research and journey mapping, defining requirements/epics/user stories, tracking product metrics, and guiding product launches to deliver scalable, resilient advisor planning tools.