Top Tech Jobs & Startup Jobs

Leads full-stack software engineering projects and developer teams building cloud-based, distributed microservices and full-stack systems. Responsibilities include designing service boundaries, developing APIs, establishing engineering standards, improving system performance, reducing technical debt, mentoring engineers, and shaping technology strategy. The role uses modern programming languages, AWS, databases, containers, CI/CD, infrastructure as code, automated testing, observability, and AI-based development tools.

Build, deploy, scale, and monitor production machine learning models and infrastructure. Responsibilities include developing ML applications, optimizing algorithms and data pipelines, operating distributed systems and cloud services, automating testing and deployment, maintaining models, and applying responsible AI, governance, security, and explainability practices. The role collaborates with Product, Data Science, and Agile engineering teams.

Leads product management strategy and execution, reimagining customer experiences through technology and identifying value-creation opportunities. Applies customer-centered, business-focused, technology-driven, integrated problem-solving, and transformational leadership principles. Directs cross-functional teams, translates business strategy into consumer-facing digital products, manages product risks, and drives organizational alignment and sustainable outcomes.

Build and lead full-stack software engineering projects using Java, AWS, distributed microservices, cloud platforms, databases, APIs, and modern front-end technologies. Provide technical leadership across Agile teams, establish engineering standards, mentor developers, partner with architects and product managers, reduce technical debt, improve performance, and influence long-term technology strategy.

Build, deploy, scale, and maintain production machine learning models and infrastructure. Responsibilities include model development, feature selection, tuning, validation, data pipeline construction, cloud deployment, Kubernetes operations, CI/CD, monitoring, responsible AI, and production troubleshooting. The role collaborates with Product, Data Science, and Agile engineering teams to deliver resilient large-scale AI solutions.

Manage full lifecycle delivery of digital platform programs and projects within the Global Payment Network PMO. Coordinate cross-functional product, technology, operations, and process teams; manage dependencies, risks, scope, resources, governance, communications, escalations, and stakeholder engagement. Lead PMO routines, reporting, Jira data reconciliation, regulatory compliance, and continuous improvement across domestic and international eCommerce and tokenization initiatives.

Executes risk-based compliance control testing across business lines, focusing on privacy and enterprise services. Analyzes test data, validates controls, documents findings, reviews peer testing, manages schedules, identifies process improvements, and presents final reports. The role requires collaboration with compliance advisors, risk offices, and business partners, along with knowledge of international privacy regulations and strong analytical and communication skills.

Own and prioritize product roadmaps for business cards and payments products. Translate business epics into features and user stories, define acceptance criteria, assess customer and business needs, and collaborate with designers, technologists, data scientists, and stakeholders in an agile environment. Research emerging technologies, develop customer-focused digital features, manage product platforms, communicate roadmaps, and drive cross-functional teams toward MVP delivery and business outcomes.

Lead analytics for US Card: identify business opportunities, build and test models, support product/pricing and marketing, manage credit risk analysis, drive implementation, and partner with IT, Sales, Operations, and Finance.

Leads the PMO and Product Operations function for a 200-person organization, owning operating models, capacity planning, prioritization, governance, reporting, dependency management, and execution standards. Builds scalable processes, improves efficiency, aligns cross-functional stakeholders, and translates strategy into executable plans. Manages and develops program managers, project managers, and operations associates while providing senior leadership with visibility into delivery health, risks, and tradeoffs.