Your opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

As a Senior Manager, Software Engineering, you will lead teams focused on improving the quality, resiliency, performance, and long-term sustainability of Schwab’s application portfolio. This role sits at the intersection of engineering leadership, AI-enabled software innovation, and operational excellence, helping teams identify technology risks, reduce technical debt, and accelerate modernization efforts across complex enterprise platforms.

You will build scalable engineering practices that leverage AI-driven analysis to uncover opportunities for improvement, prioritize remediation efforts, and deliver measurable outcomes that strengthen platform stability and developer productivity. Success in this role requires strong technical leadership, sound decision-making, and the ability to collaborate across engineering organizations to drive continuous improvement. You will play a key role in advancing engineering capabilities that combine AI, automation, and modern software development practices to improve delivery speed, reliability, and business impact.

What you have

Required Qualifications

• 10+ years of software engineering experience, including leadership of high-performing development teams.
• Proven experience improving software quality, resiliency, performance, and operational excellence across complex enterprise applications.
• Strong knowledge of cloud architectures, CI/CD practices, automated testing, observability, and application modernization.
• Experience leveraging AI-enabled engineering capabilities to improve software development, code quality, modernization, or developer productivity.
• Demonstrated ability to build and scale engineering organizations that combine AI-driven analysis, engineering execution, and repeatable delivery frameworks.
• Experience leading cross-functional teams and influencing technical strategy across multiple stakeholders.
• Strong problem-solving, decision-making, and organizational leadership skills.

Preferred Qualifications

• Prior hands-on software development experience with strong knowledge of coding practices, application architecture, and modern engineering standards.
• Experience leading AI-enabled software development, modernization, automation, or developer productivity initiatives.
• Working knowledge of emerging AI engineering frameworks and agent-based workflows within enterprise environments.
• Experience driving large-scale application modernization, resiliency improvements, technical debt reduction, or engineering transformation programs.
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Passion for building innovative engineering capabilities that improve quality, speed, and business outcomes.

In addition to the salary range, this role is eligible for bonus or incentive opportunities.