Top Tech Jobs & Startup Jobs

Design and implement content strategies for Chase AI products: create content architectures, adopt brand voice, ensure accessibility and inclusive design, collaborate with cross-functional teams, iterate using user feedback, and analyze content performance to optimize customer experiences.

Lead and develop a team of Financial Advisors, recruit and coach talent, drive a customer-obsessed culture, integrate across banking partners, manage day-to-day supervisory and operational responsibilities, ensure risk and control compliance, and promote technology adoption to deliver investment solutions.

Lead an agile eTrading engineering team to design, develop, and maintain secure, high-quality low-latency C/C++ systems. Provide technical guidance, influence product design, drive adoption of AI-assisted engineering practices, ensure operational stability, and promote firmwide SDLC tooling and standards.

Design, implement, and maintain reliable, scalable cloud infrastructure and deployment pipelines. Monitor and optimize application availability using observability, SLOs, and telemetry. Automate infrastructure/configuration as code, troubleshoot containers and networking, collaborate across teams, and apply enterprise-authorized AI to accelerate incident triage and reliability improvements while ensuring data sensitivity.

Lead design and delivery of secure, scalable full-stack solutions. Develop, review, and troubleshoot production code; drive automation and CI/CD; champion AI-assisted engineering practices; evaluate vendor and architectural options; mentor teams and promote resilient, reusable design patterns across the organization.

Partner with HR leaders to translate workforce data into executive-ready insights and action. Deliver proactive analytics, storytelling, and automated reporting; collaborate with BI, AI/Data Science, and Chief Data Office to build predictive models, self-service capabilities, and measure business impact of people analytics.

Lead design and deliver AI-enabled data platform capabilities (metadata, lineage, data quality, retention). Drive adoption of enterprise-authorized AI-assisted engineering, build agentic production systems, develop secure production code, automate remediation, establish production SRE controls, and mentor teams on responsible AI and validation standards.

Lead and scale a global HR analytics advisory practice that embeds data-driven insights into HR and business decision-making. Build and manage a team of analysts and storytellers, partner with senior executives and cross-functional teams to deliver executive-ready analyses, automate reporting, enable self-service, and collaborate on predictive models and data governance to improve workforce outcomes such as retention, mobility, and allocation.

Lead design and deliver enterprise data governance: implement data models, metadata standards, data cataloging/lineage, governed ETL/ELT pipelines, data quality controls, and coach teams on AI-assisted engineering and secure practices.

Lead and scale a global HR analytics advisory team that partners with HR and business leaders to embed data-driven insights into workforce decisions. Drive executive-ready analytics, storytelling, predictive modeling, self-service reporting, and cross-functional collaboration to improve retention, mobility, allocation, and workforce risk management.