Benefits: - Onsite
- Competitive salary
- Opportunity for advancement
Senior Product Manager, AI Agents
Dallas, TX (Onsite)
In-person InterviewOverviewAs
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.
Key ResponsibilitiesProduct 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.
QualificationsEducation- Bachelor's degree (or equivalent experience) in Computer Science, Engineering, Business, or Information Systems.
Advanced degree preferredExperience- 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.
Preferred Attributes- 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.
Compensation: $70.00 - $75.00 per hour
About UsWe work to deliver profitability in your business - with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work ApproachOur PhilosophyOur Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work PolicyWe promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The FutureSelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.
