Sr. AI Engineering Manager (PL), AI.x

Your Opportunity

Schwab remains committed to providing increased visibility to career growth opportunities and job requirements. This posting announcement is part of increased transparency and while all qualified applicants will be reviewed and considered, this organization has a preferred candidate identified for this role.

At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our San Francisco office. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do.  

Schwab’s AI Strategy & Transformation team, known as AI.x, is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. As an AI Engineering Manager on AI.x, you will play a key role in bringing these priorities to life by leading a team that designs and delivers innovative AI solutions.  

This role is more than an engineering management position. It is an opportunity to join a high-profile team shaping Schwab’s future with AI, to build solutions that matter to millions of clients, and to grow your career in one of the most exciting areas of technology today.  

As the Manager for an AI Engineering team, you will lead a small team of engineers to design, build and deliver GenAI applications that enhance client experience and create business value. You will partner with architects, senior engineering leaders and business stakeholders to align solutions with Schwab’s enterprise strategy. You will mentor and coach your team, give regular feedback, and help build strong technical practices and a culture of continuous learning. You will stay hands-on, contributing to design and code, applying engineering standards, and driving rapid iteration from concept to production. Above all, you will bring curiosity, creativity, and technical depth to help shape the next generation of AI at Schwab.  

What you have

Required Qualifications 

• 7+ years of software development experience and 2+ years of experience as a hands-on engineering manager or technical lead with direct people leadership responsibilities.   
• Bachelor’s degree in computer science or related field.   
• 5+ years of experience building and delivering products and running them in production, including leading the technical work of a small team. 
• 2+ years of experience building applications that use Artificial Intelligence (AI) models to deliver real business impact.   
• 2+ years of experience building applications and data pipelines that interface with large datasets.   
• 2+ years of experience with containers and cloud-native applications and operationalizing them in the public cloud with infrastructure as code. 
• Foundational people leadership skills, including mentoring, coaching, giving regular feedback, and participating in hiring, with a desire to grow in performance management and career development. 

Preferred Qualifications 

• Strong communication skills – you balance written and verbal communication to clearly share your perspective with others on the team.    
• Strong computer science fundamentals and experience working across different parts of the tech stack. 
• Experience working with proprietary or open-source LLMs (Gemini, Claude, OpenAI or other models) and shipping LLM-powered applications to production.   
• Focus on quality in everything you do. Continue to raise the bar and help your team deliver high-quality products, with experience writing tests at all levels of the test pyramid.   
• Experience writing and running evaluations to ensure quality and monitor consistency in LLM-generated responses and actions.   
• Experience mentoring early-career and mid-level engineers and helping them grow their technical skills through clear feedback and code reviews. 
• Demonstrated mindset of continuous learning and improvement. 
• Ability to solve problems with ambiguous or incomplete data in distributed systems. 
• Demonstrated business domain knowledge related to all products you have worked on. 
• Curiosity about new technologies and processes – you always seek to improve yourself and everyone around you and proactively seek and share knowledge with others on your team.