Senior Manager, AI Data & Cloud Platforms (On‑Site)

Charles Schwab; Southlake (TX); On-site; USD 140,000 - 220,000; Full time

Benefits offered by this job

401(k) match

Sabbatical every 5 years

Parental leave & family benefits

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Charles Schwab Technology Services seeks a Senior Manager, Software Development and Engineering to lead AI-enabled data pipelines and cloud-native solutions. You will mentor teams, design scalable systems, and collaborate with architects, data scientists, and business partners to deliver reliable, production-grade software.

The role focuses on integrating Generative AI into enterprise applications, ensuring data integrity, testing, and observability while delivering measurable client value in a

Qualifications

• 8+ years of software or data engineering experience delivering enterprise-scale solutions.
• Advanced Python development for data processing, integrations, and pipelines.
• Experience designing, developing, and supporting trading applications in cloud environments.
• Hands-on with GCP services (Cloud Run, Cloud Storage, Dataflow) or similar.

Responsibilities

• Design and deliver scalable, production-grade AI solutions for client experiences.
• Build Python-based data pipelines and cloud integrations linking enterprise apps with Generative AI.
• Mentor teammates and strengthen testing, monitoring, and observability practices.
• Collaborate with architects, engineers, data scientists, and business partners to ship reliable systems.

Skills

Software engineering

Python

Cloud environments

Data engineering

Problem solving

Testing strategies

Debugging production issues

Cross-functional collaboration

Education

Bachelor’s degree in computer science, data engineering, engineering, mathematics, analytics, or related field

Tools

Google Cloud Platform (GCP)

APIs & distributed systems

Git/Version control

Vendor AI platforms

Job description

Charles Schwab Technology Services seeks a Senior Manager, Software Development and Engineering to lead AI-enabled data pipelines and cloud-native solutions. You will mentor teams, design scalable systems, and collaborate with architects, data scientists, and business partners to deliver reliable, production-grade software.

The role focuses on integrating Generative AI into enterprise applications, ensuring data integrity, testing, and observability while delivering measurable client value in a