Top Product Management Jobs in New York City, NY

Own product strategy and development for money movement decisioning, protecting customers from account takeover and scams. Collaborate with engineering, data science, design, operations, analysts, marketers, and business partners to build risk models, automated decisions, customer journeys, and human-assisted treatments. Lead customer-centered experimentation, translate business strategy into digital products, solve complex problems, and align cross-functional teams toward measurable outcomes.

Leads product strategy and strategic initiatives for Capital One’s Consumer and Developer Experience organization. Partners with senior leaders, analyzes business landscapes, drives annual planning, supports AI transformation, develops product innovation and prototypes with engineering, and leads strategy and product teams. The role requires strong strategic problem-solving, product orientation, analytics, people leadership, relationship-building, communication, and the ability to operate effectively in ambiguity.

Lead product management for Enterprise Payments, defining customer-centric payment experiences across lending and deposit products. Partner with designers, engineers, data scientists, operations specialists, and business stakeholders to develop scalable payment platforms, leverage AI and data-driven insights, accelerate delivery, manage product risks, and meet regulatory expectations.

Leads product strategy and execution for an AI-powered Lead Intelligence data pipeline serving Business Cards and Payments. Partners with Engineering, Data Science, Field Analytics, Sales, and Marketing to unify, enrich, verify, and continuously refresh business sales leads. Transforms fragmented, manual prospecting processes into targeted lead queues with actionable prospect context for relationship managers and digital channels.

Lead product management for consumer experience and MarTech platforms, owning marketing, messaging, personalization, and experience platform capabilities. Translate strategy into consumer-facing digital products, partner with data, AI, and engineering teams, and lead cross-functional teams to deliver scalable, measurable customer experiences and product outcomes.

Lead product strategy and execution to modernize Governance, Risk, and Compliance (GRC) products and data. Drive cross-functional teams to transform risk management from manual to automated, delivering human-centered, technology-driven solutions that align with business strategy and mitigate product risks.

Lead product vision, 12–18 month roadmaps, and long-term strategy for Capital One Business Travel. Manage and scale product teams, partner with Design/Engineering/Growth, drive customer insight, and deliver enterprise and SMB travel product experiences while representing COBT to executives.

Lead Payments Intelligence product strategy and execution, align cross-line-of-business stakeholders, and advance transaction-data and AI/ML-driven platform capabilities. Raise product management standards, deliver value for internal and external users, and collaborate with tech, data science, risk, and business teams to achieve near-term impact and long-term outcomes.

Leads customer data product strategy to improve segmentation, personalization, customer value, marketing, servicing, and credit performance. Develops metrics, models, business requirements, product and pricing strategies, and go-to-market initiatives. Oversees concurrent projects, partners cross-functionally, and may manage analysts. Requires strong quantitative and qualitative analysis, executive communication, people leadership, product development, financial modeling, and strategic decision-making.

Own the Payments organization’s AI strategy and product portfolio. Define AI investment and build-buy-partner roadmaps, deliver operational and customer outcomes, establish shared AI capabilities, ensure responsible AI practices, and increase organizational AI fluency. This hands-on player-coach role leads a lean team and collaborates with product and engineering teams to deliver AI solutions into production.