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Senior Manager, Software Engineering - AI Engineering & Operations

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Charles Schwab
Full Time position
Listed on 2026-05-31
Job specializations:
  • Engineering
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
Job Description & How to Apply Below

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). This role is expected to be in the office 4 days a week.

Schwab's AI Engineering & Operations team is responsible for building the next generation Generative AI solutions that shape the future of technology ineers collaborate across teams to deliver scalable, secure, and high-performing AI systems that align with Schwab’s innovation strategy and operational goals. Additionally, the AI products this team delivers are instrumental in driving data-informed business decisions and elevating client experiences.

We’re seeking a Senior Engineering Managerto lead/manage a team of engineers who will design and deliver production-grade GenAI applications, enhancing the client journey and driving tangible business value. The ideal candidate will have experience as an engineering leader who has personally built and operted cloud-based systems at scale and now lead teams through technical depth. This role requires deep technical credibility and the ability to design, review, and challenge complex system architectures.
You will be expected to whiteboard, review designs, and coach senior engineers on production‑grade systems.

In this pivotal role, you’ll help shape the next era of AI at Schwab by advancing engineering standards and solving complex, real‑world challenges. You’ll lead teams through rapid iterations—from concept to production—while fostering a culture of curiosity, creativity, and continuous learning.

With a strong emphasis on site reliability, monitoring, observability, and operations, you’ll ensure the AI systems and data pipelines your team builds are resilient, well‑monitored, and ready to support mission‑critical use cases. Your work will directly impact system performance, reliability, and customer trust at scale.

At Schwab, you’ll collaborate with talented engineers and partners who value integrity, inclusion, and shared success—while growing your own leadership and technical impact along the way.

What You'll Do:

  • Lead and manage a team of highly skilled software engineers responsible for designing, building, and operating production‑grade GenAI applications that deliver measurable business and client impact.
  • Serve as a hands‑on technical leader, actively guiding architecture decisions, reviewing designs, and coaching engineers on building scalable, reliable, and maintainable systems.
  • Own engineering outcomes end‑to‑end—from technical design and implementation through deployment, monitoring, incident response, and ongoing optimization.
  • Drive cloud‑first, cloud‑native engineering practices, including containerization, infrastructure as code, CI/CD, and automation across development and operations.
  • Champion site reliability engineering principles, ensuring systems are observable, resilient, well‑monitored, and capable of supporting mission‑critical workloads at scale.
  • Partner closely with product, data, security, and platform teams to translate business needs into technically sound, high‑quality solutions.
  • Establish and uphold engineering standards focused on code quality, operational readiness, security, and long‑term sustainability.
  • Lead teams through ambiguity and rapid iteration, making informed tradeoffs while maintaining high technical and reliability standards.
  • Mentor and develop engineers through code reviews, technical feedback, career coaching, and performance management, building strong engineering depth across the team.
  • Communicate complex technical concepts clearly and concisely to senior leadership and cross‑functional stakeholders, including risks, dependencies, and architectural decisions.
What you have

To ensure that we fulfill our promise of “challenging the status quo,” this role has specific qualifications that successful candidates should have:

Required Qualifications:

  • 5+ years of direct people leadership experience…
Position Requirements
10+ Years work experience
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