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Schwab's AI Engineering & Operations team is responsible for building the next generation Generative AI solutions that shape the future of technology at Schwab. Engineers 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 Manager to lead/manage a team of engineers who will design and deliver production-grade GenAI applications, enhancing the client journey and driving tangible business value.
Job Responsibility:
Provide leadership by mentoring and coaching engineers, fostering strong practices, accountability, and continuous learning
Lead the team in solving complex technical challenges and driving rapid iteration from concept to deployment
Champion reliability, monitoring, observability, and operational best practices for AI systems and data pipelines
Implement and maintain monitoring, alerting, and incident response frameworks to ensure system health and reliability
Collaborate with cross-functional teams to align solutions with enterprise strategy and technical standards
Advance engineering standards, focusing on operational excellence and quality across all deliverables
Exhibit strategic vision, initiative, and adaptability while navigating complex situations and driving organizational alignment
Requirements:
5+ years direct people leadership experience with a proven ability to cultivate talent and build a collaborative team environment, preferably in a large, complex, and geographically dispersed organization
8+ years of software development experience, with 4+ years as a hands-on senior engineer
Bachelor’s degree in Computer Science or related field
5+ years building complex products from scratch, nurturing them in production, and ensuring operational reliability
3+ years developing applications and data pipelines interfacing with large datasets
5+ years working with containers and cloud-native applications, operationalizing them in the public cloud with infrastructure as code
Demonstrated ability to influence and execute through others, deliver balanced and actionable feedback, and manage multiple priorities
Strong people management skills, including hiring, mentoring, performance management and career development
Nice to have:
Strong computer science fundamentals and experience across the tech stack
Commitment to quality—driving high standards including writing tests at all levels
Strong written and verbal communication skills to clearly convey ideas and feedback
Strong emotional intelligence, maturity, and executive presence, inspiring confidence and creating followership at all organizational levels
Mentoring junior engineers and supporting their technical growth through code reviews and guidance
Highly detail-oriented and process-focused with a mindset of continuous learning and improvement
Ability to solve complex problems with ambiguous or incomplete data in distributed systems
Demonstrated business domain knowledge relevant to previous products
Curiosity about new technologies and processes, proactively sharing knowledge and seeking improvement
Experience with Python, Java, and front-end development preferred but not required
Master’s or advanced degree in Computer Science or related field
What we offer:
401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions