Senior Software Delivery & AI‑Driven Engineering Manager

Charles Schwab; Richfield Township (OH); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

401(k) with company match

Sabbatical after every 5 years of 서비스

Parental leave

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Charles Schwab is seeking a Senior Software Development & Engineering Manager in Retirement Plan Services. You will lead multiple delivery teams, shaping architecture, tooling, and processes to deliver high‑quality, scalable enterprise applications.

You will drive AI/ML adoption, mentor engineers, and collaborate across disciplines in a fast‑paced environment. The role emphasizes hands‑on leadership, agile planning, and delivering solutions that scale with business needs while maintaining strong

Qualifications

• Bachelor’s degree in computer science or related field is required.
• Experience leading software delivery teams with high-quality output across design, development, testing, deployment, tooling and support.
• Expertise in delivering scalable enterprise applications with modern tech stacks and integration patterns.

Responsibilities

• Lead one or more software delivery teams to deliver high‑quality solutions.
• Provide guidance across design, development, testing, deployment and support.
• Drive adoption of AI/ML techniques across the SDLC and architecture.

Skills

Software leadership

Agile methodologies

AI/ML in SDLC

Distributed systems

REST/SOAP APIs

Team building

Communication skills

Talent retention

Mentoring

Client focus

Education

Bachelor’s degree in computer science

Tools

C#, ASP.NET

Delphi

Angular

SQL Server

Oracle

PCF

GCP

AWS

SAML/OAuth

JIRA

Confluence

Bitbucket

Bamboo

Job description

Charles Schwab is seeking a Senior Software Development & Engineering Manager in Retirement Plan Services. You will lead multiple delivery teams, shaping architecture, tooling, and processes to deliver high‑quality, scalable enterprise applications.

You will drive AI/ML adoption, mentor engineers, and collaborate across disciplines in a fast‑paced environment. The role emphasizes hands‑on leadership, agile planning, and delivering solutions that scale with business needs while maintaining strong