Top Tech Jobs & Startup Jobs in NYC, NY

Lead product efforts for Payment Platforms to scale and standardize payment experiences. Collaborate with designers, engineers, data scientists, and partners to design, test, and deliver customer-focused digital payments solutions that drive business outcomes and adoption.

Lead product management for enterprise core platform, translating strategy into customer-focused digital products. Own roadmap, drive cross-functional alignment, apply human-centered and technology-driven approaches, solve complex problems, and deliver measurable business outcomes.

Lead product strategy and delivery for US Card core platforms and servicing, focusing on data/platform modernization, AI-enabled agent and customer assist, fraud/disputes, and credit bureau disputes. Partner with engineering, data, design, risk, and operations to define MVPs, prioritize roadmaps, decommission legacy systems, and build controls to deliver scalable, compliant customer experiences.

As an Applied Researcher II, you'll develop AI models, collaborate across teams, conduct applied research, and drive innovations in AI to improve customer experiences.

As a Data Scientist, you'll analyze complex datasets to optimize fraud authentication, design ML solutions, and collaborate with cross-functional teams.

The role involves leading data science initiatives, building machine learning models, conducting experiments, and collaborating with teams to enhance customer experiences and business outcomes.

The role involves leading AI solutions development, optimizing AI systems, and collaborating with cross-functional teams to enhance customer interactions at Capital One.

The Applied Researcher I role involves developing AI foundation models, collaborating with cross-functional teams, and conducting advanced research to enhance banking experiences with AI.

The Senior Lead Software Engineer will lead diverse technology projects, collaborate with product managers, and deliver cloud-based solutions while mentoring other engineers and utilizing various programming languages and technologies.

The role involves leading a team to develop personalized recommendation systems using machine learning, working with large datasets, and collaborating across disciplines.