Product Management Jobs 2026 (Now Hiring) – Smart Auto Apply

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 field10+ 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.