Top Tech Jobs & Startup Jobs in NYC, NY

Lead product management initiatives for Capital One’s Collections and Recoveries organization. Partner with technology, analytics, operations, risk, legal, design, marketing, and compliance teams to discover customer needs, define roadmaps, launch scalable digital capabilities, and improve recoveries. Potential focus areas include operational or analytical data infrastructure, recoveries platforms, payments and offers, or web and mobile customer experiences.

Build and architect scalable cloud data platforms, pipelines, and applications using technologies such as Python, Spark, Databricks, and Snowflake. Lead large-scale data initiatives, make architectural decisions, establish engineering patterns, and ensure platform resilience and operational efficiency. Collaborate with product, engineering, analytics, and data science teams while mentoring engineers and communicating technical concepts to stakeholders. Evaluate data platform choices and deliver solutions supporting machine learning, distributed systems, and evolving enterprise data needs.

Leads product strategy and execution for HR data and AI platforms supporting performance assessment, associate growth, and organizational planning. Builds scalable data foundations, signal engines, AI-ready ecosystems, enterprise integrations, and onboarding experiences. Partners with engineering and cross-functional teams to deliver reliable data products, enable machine learning adoption, and shape HR data strategy across the organization.

Leads risk strategy and advisory activities for Emerging and B2B businesses, translating complex technology and cybersecurity risks into executive presentations and strategic recommendations. Advises stakeholders across business, technology, cyber, compliance, and lines of defense; identifies risks and process improvements; oversees technology initiatives; leads cross-functional programs; and drives risk reporting, mitigation strategies, and continuous improvement. The role requires strong technical writing, analysis, communication, and technology risk management expertise.

Owns case-servicing product strategy by identifying high-value opportunities, leading customer-focused discovery and ideation, prioritizing digital servicing experiences, and partnering with product managers, technology teams, and stakeholders on implementation. The role requires cross-functional leadership, rapid domain learning, complex problem-solving, and translating business strategy into consumer-facing digital products.

Provides second-line AML compliance advisory and risk management for Cards and Enterprise Services. Advises business lines on AML requirements, controls, monitoring, remediation, regulatory changes, and new products. Oversees governance, findings, audits, regulatory examinations, and enterprise initiatives; identifies compliance risks and trends; prepares leadership reporting; and provides effective challenge and guidance across stakeholders.

Leads full-stack software engineering projects and developer teams building distributed microservices and cloud-based solutions. Provides technical direction across Agile teams, defines service architectures, improves performance, reduces technical debt, establishes engineering standards, mentors engineers, and influences technology strategy. Works with Java, Python, JavaScript, TypeScript, cloud platforms, databases, containers, APIs, CI/CD, and modern AI development tools.

Architect and build the Global Payment Network’s real-time and batch data infrastructure, including event-driven pipelines, canonical data models, metadata and catalog systems, streaming, storage, and low-latency services. Establish technical standards for scalable distributed systems, partner with fraud, analytics, modeling, product, and risk teams, and mentor engineers as a senior individual contributor without direct reports.

Leads product strategy and delivery for Capital One’s Card Core platform, guiding consumer-facing financial technology capabilities. Builds strong partnerships across Technology, Product, and Enterprise teams; establishes platform vision; drives analytical and strategic decision-making; and manages two direct and three matrixed Product Managers. Responsible for talent development, recruiting, organizational alignment, customer-focused innovation, and delivery of critical card technology initiatives.

Lead large-scale data engineering initiatives, designing scalable cloud data platforms, pipelines, and architectures. Use Python, Spark, SQL, Databricks, Snowflake, AWS, relational and NoSQL databases to deliver resilient data solutions. Mentor engineers, analysts, and data scientists; establish engineering standards; evaluate platform choices; and collaborate with product and software teams to support enterprise data transformation and AI capabilities.