Top Tech Jobs & Startup Jobs in NYC, NY

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.

Review and audit machine learning models and model risk practices across the enterprise. Partner with cross-functional teams to design, train, evaluate, validate, and implement ML and NLP solutions, using tools like Python, Spark, H2O, and AWS. Translate technical findings into business recommendations and assurance for stakeholders and the Audit Committee, while researching and applying emerging Generative AI and state-of-the-art methods.

Serve as strategic thought partner to the Chief Data Officer; lead enterprise data strategy projects, conduct qualitative and quantitative analysis, craft insight-driven narratives, influence senior stakeholders, build cross-enterprise partnerships, manage teams and projects, and drive execution of data priorities to improve business 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.

Leads product management strategy and execution, translating customer needs and business goals into innovative digital products. Drives technology-enabled value creation, solves complex problems, manages product risks, and aligns cross-functional teams around transformational outcomes. Requires a quantitative, business, or marketing degree, or a bachelor’s degree with four years of product management experience. Consumer-facing digital product experience is preferred.

Leads software engineering projects and developers building distributed microservices, full-stack systems, and cloud-based solutions. Collaborates with product managers, addresses regulatory needs, evaluates emerging technologies, mentors engineers, and contributes to technology communities. The role uses languages including Python, Java, JavaScript, TypeScript, SQL, and Go, along with AWS, containers, Kubernetes, relational databases, NoSQL, Snowflake, Databricks, and AI tooling.

Leads complex corporate surveillance projects and programs supporting regulatory compliance in capital markets. Oversees surveillance tools for email, chat, and voice communications; manages roadmaps, vendor enhancements, documentation, audit trails, and stakeholder priorities. Serves as a technical interface with legal counsel and regulators, translates compliance requirements into engineering specifications, and anticipates regulatory changes. Leads, coaches, and develops project managers while driving cross-functional delivery.

Own the data integration strategy and lifecycle for Capital One’s offers fulfillment engine. Define the product roadmap, gather stakeholder requirements, guide software delivery, and redesign the marketing offers data ecosystem. Partner with product, strategy, design, marketing, engineering, and leadership teams to build data products and reports, influence business strategy, enable experimentation, and drive cross-functional alignment.

Own and prioritize the Decisioning Platform product roadmap, translating business needs into features, user stories, and MVPs. Collaborate with technology, design, data science, and business teams in an agile environment to research, develop, test, and launch digital platform capabilities. Define acceptance criteria, manage risk, communicate product strategy, and influence stakeholders while delivering customer-focused solutions that support Capital One’s critical decisioning processes.