Director of Software Engineering: Content & Experimentation

JPMorgan Chase; Columbus (OH); On-site; USD 180,000 - 260,000; Full time

Job summary

JPMorganChase seeks a software engineering leader to direct a Content and Experimentation platform, guiding cross-functional teams across product, design, analytics and marketing. You will shape roadmaps, governance and scalable delivery on AWS, balancing speed with security and reliability.

The ideal candidate has a strong background in cloud-native systems, AI-enabled processes, and multi-team leadership to drive measurable outcomes and transformational engineering initiatives.

Qualifications

• Formal training or certification in software engineering with 10+ years of applied experience.
• 5+ years of experience leading technologists to manage complex items within your domain.

Responsibilities

• Lead technology and process implementations to achieve functional technology objectives.
• Be the primary decision maker for your teams and drive innovation and solution delivery.
• Own the engineering strategy and execution for a Content and Experimentation platform.
• Define platform roadmaps, SLAs/SLOs, and measurable outcomes with Product, Design, Data/Analytics, and Marketing stakeholders.
• Establish platform governance for experimentation, guardrails, and testing strategies.
• Drive AWS-based cloud-native delivery with focus on secure-by-design and reusable platform capabilities.

Skills

Leadership

AWS

AI-enabled engineering

SDLC

Platform governance

Cross-functional collaboration

Cloud-native delivery

Content delivery & experimentation

Product management liaison

Education

Bachelor's degree in Computer Science or related field

Tools

AI-assisted development tools

Enterprise-grade tooling

Job description

JPMorganChase seeks a software engineering leader to direct a Content and Experimentation platform, guiding cross-functional teams across product, design, analytics and marketing. You will shape roadmaps, governance and scalable delivery on AWS, balancing speed with security and reliability.

The ideal candidate has a strong background in cloud-native systems, AI-enabled processes, and multi-team leadership to drive measurable outcomes and transformational engineering initiatives.