Senior Product Manager AI Agent at Select Minds LLC in TX-Dallas-75235

Job description

• As Senior Product Manager, AI Agents on our Agentic AI / AI Engineering Team, you will provide strategic product leadership for enterprise-grade AI Agents built on our Agentic Platform, leveraging AWS Bedrock, SageMaker Unified Studio, and leading Agentic AI frameworks. Please don't waste our time by applying an irrelevant resume.
• This role is central to designing and operationalizing AI Agents capable of complex decision-making and multi-step task execution across the enterprise — transforming how we operate and deliver business value. You'll lead cross-functional initiatives that define, scale, and continuously evolve our next-generation Agentic AI ecosystem.
• This position is ideal for a seasoned product leader who thrives at the intersection of strategy, innovation, and execution — and who is passionate about building the enterprise foundations for autonomous, explainable, and responsible AI systems.

Responsibilities

• Product Strategy & Roadmap
• Define and execute the comprehensive product strategy for enterprise AI agents, aligning with company-wide AI initiatives and business goals.
• Lead the end-to-end product lifecycle — ideation, design, experimentation, delivery, and scaling — of AI agent features and capabilities.
• Develop single and multi-agent strategies for deployment via AWS Bedrock AgentCore, SageMaker Unified Studio, and frameworks such as LangChain and LangGraph.
• Establish roadmaps and prioritization frameworks for multi-modal AI experiences supporting RAG, tool integration, human-in-the-loop capabilities, and cross-agent collaboration.
• Enterprise Deployment & Adoption
• Identify and validate high-impact AI agent use cases across business units.
• Drive adoption and scaling of AI agent solutions across the enterprise.
• Coordinate go-to-market plans, launch communications, and performance tracking for internal and external rollouts.
• Partner with engineering, data science, security, and compliance to translate business needs into resilient, scalable, and compliant agentic solutions.
• Governance, Data & Infrastructure Alignment
• Collaborate with the Agentic AI Data Platform Team to ensure reliable, governed, and scalable data access for agent workflows.
• Define repeatable agent patterns, including data flows for contextual reasoning, real-time ingestion, and autonomous decision-making.
• Implement data governance and auditability frameworks ensuring compliance with privacy-by-design and industry standards.
• Establish metrics and KPIs to measure agent performance, impact, and business ROI.
• Cross-Functional Leadership
• Partner across Product, Data Science, Security, Legal, and Operations to deliver end-to-end AI capabilities.
• Manage relationships with technology partners and vendors in the AI ecosystem.
• Lead A/B testing, agent evaluation, and post-deployment analysis to drive continuous improvement.
• Contribute to responsible AI practices, emphasizing transparency, explainability, and ethical data use.

Requirements

• Education
• Bachelor's degree (or equivalent experience) in Computer Science, Engineering, Business, or Information Systems.
• Advanced degree preferred.
• Experience
• 5+ years in Product Management, with at least 2+ years focused on AI, ML, or enterprise software.
• Experience building or managing LLM-based applications or AI infrastructure.
• Proven success leading large-scale, cross-functional technology initiatives.
• Familiarity with AWS technologies (S3, VPC, SageMaker, Bedrock) and modern data/AI stack architectures.
• Skills & Competencies
• Strong background in strategy formulation, prioritization, and stakeholder alignment.
• Expertise in managing complex software product requirements and MVP definition.
• Proficiency in establishing and tracking KPIs, business value metrics, and AI performance indicators.
• Excellent communication and leadership skills to engage senior executives and technical teams.
• Demonstrated ability to balance innovation with reliability in mission-critical systems.
• Experience working under uncertainty and making informed product decisions with limited data.
• Commitment to Responsible AI, governance, and enterprise transparency.
• Experience in agentic frameworks, multi-agent orchestration, or autonomous systems.
• Deep understanding of data lineage, model evaluation, and MLOps practices.
• Ability to translate complex technical capabilities into clear business value propositions.
• Track record of researching emerging AI trends and integrating relevant advancements into product strategy.

Skills

Required

• Stakeholder alignment
• Commitment to Responsible AI
• AWS Bedrock
• SageMaker Unified Studio
• AWS S3
• AWS VPC
• LangChain
• LangGraph
• LLM-based applications
• AI infrastructure
• MLOps
• Data lineage

Benefits

• Onsite
• Competitive salary
• Opportunity for advancement
• Compensation: $130,000.00 - $150,000.00 per year