Top Tech Jobs & Startup Jobs

Lead analytics for Paid Media strategy: design and deploy audience segmentation, ML models, and experimentation to optimize targeting, personalization, and digital acquisition. Apply emerging AI/GenAI techniques, collaborate cross-functionally to implement scalable data products, measure performance, and communicate insights to stakeholders.

Lead governance and risk management for technology across IT disciplines (asset, change, incident management) and emerging AI risks; develop risk programs, support committees, audits, monitor regulations, and embed automation and analytics to scale IT risk oversight.

Lead risk reporting for Corporate Functions: produce thematic and quantitative reports, dashboards, KRIs, analytics, and insights; monitor risk appetite thresholds; collaborate with stakeholders to escalate issues and drive governance and control improvements.

Lead strategy and execution for Agentic Commerce capabilities, defining protocols, integrations, fraud and dispute strategies, data governance, and partner/API requirements. Collaborate with engineering, UX, legal, compliance, risk, networks, and business teams to deliver secure, AI-agent powered payment experiences and go-to-market plans while balancing short-term delivery with long-term product vision.

Design and build cloud-native microservices and scalable data pipelines for a Risk Decision platform. Write high-quality Java code, automate testing and releases, implement CI/CD, apply LLM/agentic AI to improve engineering workflows, collaborate across teams, and support application availability and scalability.

Lead enterprise architecture and implementation for Adobe Experience Cloud platforms (AEM, AEP, Analytics, Journey Optimizer), drive cloud-native, event-driven integrations, mentor engineers, and deliver scalable, secure omnichannel customer experiences across web and mobile while modernizing platform and reuse patterns.

Design, implement, and manage compute, storage, network and cloud infrastructure. Lead incident response and root-cause analysis, automate infrastructure, perform capacity planning, support on-call rotations, implement DR/business continuity, and improve monitoring, observability, and resilience.

Build and ship production-grade agentic AI systems and LLM-powered features for financial workflows. Design RAG pipelines over sensitive data, contribute to shared AI infrastructure (LLM services, orchestration, monitoring), ensure reliability, security, and auditability, and collaborate with product and design while owning systems in production.

Lead workforce planning for Global Financial Crimes Compliance: forecast staffing, capacity plan, standardize metrics and reporting, partner with operations and analytics, improve planning tools and data quality, drive process improvements, lead a team, manage skills reviews, and collaborate with senior leaders to align staffing with regulatory and operational priorities.

Design, implement, and operate LLM-powered and agentic AI features and shared infrastructure. Build RAG pipelines over financial data, integrate LLMs and tools into agentic workflows, and support production reliability, monitoring, and evaluation. Collaborate with product and design to translate customer needs into safe, compliant AI solutions.