AI Product Manager

AI Product Manager

Texas Capital is built to help businesses and their leaders. Our depth of knowledge and expertise allows us to bring the best of the big firms at a scale that works for our clients, with highly experienced bankers who truly invest in people's success today and tomorrow.

While we are rooted in core financial products, we are differentiated by our approach. Our bankers are seasoned financial experts who possess deep experience across a multitude of industries. Equally important, they bring commitment investing the time and resources to understand our clients' immediate needs, identify market opportunities and meet long-term objectives. At Texas Capital, we do more than build business success. We build long-lasting relationships.

Texas Capital provides a variety of benefits to colleagues, including health insurance coverage, wellness program, fertility and family building aids, life and disability insurance, retirement savings plans with a generous 401K match, paid leave programs, paid holidays, and paid time off (PTO).

Headquartered in Dallas with offices in Austin, Fort Worth, Houston, Richardson, Plano and San Antonio, Texas Capital was recently named Best Regional Bank in 2024 by Bankrate and was named to The Dallas Morning News'Dallas-Fort Worth metroplex Top Workplaces 2023 and GoBankingRate's 2023 list of Best Regional Banks.

Responsibilities

• Define and own the product roadmap for AI-driven solutions, aligning with enterprise architecture and business goals.
• Lead the development of AI products using technologies such as AWS Bedrock, Copilot Studio, LangChain, LangGraph, and Agentic AI.
• Collaborate with engineering and architecture teams to design and deploy AI Agents, Agentic AI, and AI Workflows using orchestration tools and event-driven automation.
• Integrate AI capabilities into enterprise platforms and third-party applications via Control Tower, Copilot, and secure APIs.
• Ensure compliance with Information Security, Data Privacy, and Responsible AI principles.
• Drive product decisions through user research, data analysis, and stakeholder engagement.
• Maintain audit trails and usage logs for AI interactions to support governance and transparency.
• Coordinate with vendors and internal teams to manage AI platform lifecycle, including exit strategies and cost optimization.

Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field

10+ years of experience in product development, project delivery, or technology applications.

3+ years of experience leading product development of AI platforms.

Deep understanding of product lifecycle, technical architecture, and data analytics.

Proven ability to drive adoption of product development practices including discovery, ideation, and strategic planning.

Strong stakeholder management and change leadership across functions.

Experience managing products from concept to launch.

Ability to define product vision and strategy aligned with business goals.

Strong analytical skills to evaluate market dynamics and customer needs.

Experience managing budgets and resources for strategic product initiatives.

Expertise in infrastructure products for accelerators, GPUs, and AI/ML platforms.

Experience designing and managing AI/ML infrastructure across on-prem and cloud environments.

Solid understanding of intellectual property including patents and proprietary technologies.

GenAI, ML & Data Science Expertise

Hands-on experience with AWS Bedrock, Agentic AI, LangChain, and Strand frameworks.

Familiarity with Model Context Protocol (MCPs) and orchestration tooling for GenAI applications.

Deep understanding of machine learning and data science concepts including supervised/unsupervised learning, model training, evaluation, and deployment.

Experience leading engineering and data science teams to deliver AI/ML-powered products.

Knowledge of Guardrails for safe and responsible GenAI deployment.

Proficiency in model evaluation techniques, performance metrics, and optimization strategies.

Commitment to ethical and responsible AI, including bias mitigation, transparency, and compliance.

Preferred Qualifications

Master's degree preferred.

Recognized thought leader in AI/ML or infrastructure product domains.

Knowledge of AI/ML algorithms, data structures, and software engineering practices.

Specialized training or certifications in product management, GenAI, cloud computing, or AI ethics.

The duties listed above are the essential functions, or fundamental duties within the job classification. The essential functions of individual positions within the classification may differ. Texas Capital Bank may assign reasonably related additional duties to individual employees consistent with standard departmental policy. Texas Capital is an Equal Opportunity Employer.