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. For more information about joining our team, please visit us at www.texascapitalbank.com.
We are seeking an AI Product Engineering Manager that can drive the development of transformative products that deliver exceptional customer value. As a visionary, you’ll foster a culture of continuous innovation, challenge conventional thinking, and guide cross-functional teams in delivering impactful solutions across AI/ML and platform domains. You will ignite innovation by leading customer-centric product development and shaping the future of Software platforms through strategic vision, deep expertise in GenAI and machine learning, and strong leadership across engineering and data teams.
Responsibilities
• Define and execute product vision, strategy, and roadmap for AI/ML products, aligning with business growth targets and leveraging emerging GenAI capabilities to drive competitive advantage.
• Lead end-to-end product lifecycle from ideation through delivery and scaling, adapting to evolving AI technologies, methodologies, and market opportunities.
• Build and develop high-performing product teams through coaching, mentorship, and establishing centers of excellence for AI product management best practices.
• Drive cross-functional collaboration with Engineering, Data Science, Legal, Compliance, and Go-to-Market teams to deliver scalable, secure, and high-performing AI/ML products.
• Champion responsible AI practices by identifying and mitigating risks related to bias, fairness, privacy, explainability, and ensuring compliance with AI governance frameworks.
• Own product performance and business outcomes, defining KPIs/OKRs and prioritizing continuous enhancements to exceed strategic goals and demonstrate ROI.
• Oversee AI model lifecycle management including feedback loops, retraining strategies, performance monitoring, and versioning to ensure continuous improvement.
• Translate between technical and business stakeholders, communicating complex AI tradeoffs, capabilities, and strategic implications to executives and customers.
• Proactively analyze market trends and competitive landscape, identifying differentiation opportunities through innovative applications of GenAI and AI/ML infrastructure.
• Set strategic direction for AI infrastructure platforms including accelerators, GPUs, MLOps tooling, and build-vs-buy-vs-partner decisions.
• Partner with C-suite executives to align AI product strategy with enterprise objectives and digital transformation initiatives.
• Drive customer-centric AI development through discovery, validation, and ensuring transparency and trust in AI-powered features and user experiences.
• Manage budgets and resources for product development initiatives, ensuring cost-effectiveness while maintaining strategic alignment and innovation capacity.
• Develop comprehensive product roadmaps that connect AI capabilities to value streams, business outcomes, and measurable impact.
• Foster a culture of experimentation and data-driven decision making while staying current with emerging AI technologies (LLMs, multimodal models, RAG, edge AI).
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.
Top Skills
What We Do
Our expert bankers are committed to helping your business build and grow. Equipped with experience-based insights and a proven record of implementing custom solutions for clients, we can help you with a suite of business lending, investing and financial management services that see you through every step of the way.
Our client-centric culture thrives because we attract, develop and engage the most experienced and diverse experts in their fields. Over the years, we've developed a supportive culture that values collaboration, rewards performance and respects the well-being of its team members. We know our people are our greatest asset, so we give them the resources and support they need to be successful. Our personal approach has enabled us to deliver exceptional value for our clients for more than two decades — an achievement we’re proud to continue.
Explore a career at Texas Capital Bank: https://www.texascapitalbank.com/who-we-are/careers
Texas Capital Bank is a wholly owned subsidiary of Texas Capital Bancshares, Inc. (NASDAQ®: TCBI). For more information, please visit www.texascapitalbank.com. Member FDIC. NASDAQ®: TCBI. Equal Housing Lender.
Texas Capital Bank and its subsidiaries are equal opportunity employers and do not discriminate on the basis of any protected trait including sex, sexual orientation, gender identity, race, ethnicity, disability, or veteran status. Please view our EEO Policy to learn more: https://www.texascapitalbank.com/equal-employment-opportunity-policy
