Technical Product Manager AI Infrastructure & Data Platform
hace 11 días
Dallas
Job DescriptionBenefits: • ONSITE, • Competitive salary About the Role We are looking for a Technical Product Manager, AI Infrastructure & Data Platform to lead the vision, strategy, and execution of our enterprise-scale AI infrastructure and data ecosystem. This role blends deep technical expertise in AI/ML systems with strategic product leadership, ensuring the design and delivery of scalable, secure, and efficient data and AI platforms that power our next-generation agentic and generative AI capabilities. You will collaborate with engineering, data science, and architecture teams to deliver reliable and high-performance foundations for AI products across the organization spanning model orchestration, multi-agent coordination, data pipelines, and ML lifecycle management. This position is ideal for a seasoned product leader passionate about building enterprise-grade AI infrastructure, driving platform adoption, and enabling data-driven innovation at scale. Key Responsibilities Platform Vision & Strategy: • Define and execute the product vision and roadmap for the AI Infrastructure & Data Platform, aligning with enterprise AI and digital transformation strategies., • Lead the evolution of the underlying data fabric, MLOps, and agentic infrastructure enabling large-scale AI model training, deployment, and automation., • Partner with engineering and architecture teams to establish standardized agent frameworks, API ecosystems, and developer-facing tools., • Evaluate emerging technologies (e.g., AWS Bedrock, SageMaker, LangChain, LangGraph) and integrate them into the platform strategy.Product Delivery & Execution, • Translate business and technical requirements into actionable epics, features, and prioritized backlogs., • Partner with program management on PI Planning, dependency mapping, and milestone definition for each release cycle., • Drive the development and adoption of reusable data pipelines, orchestration layers, and service APIs that power enterprise AI applications., • Collaborate with Change Management to ensure readiness for platform releases, documentation, and stakeholder training.Data & ML Platform Enablement, • Define and manage the data platform strategy, including ingestion, governance, lineage, cataloging, and real-time data access., • Enable consistent, high-quality, and auditable data pipelines for AI and ML workloads., • Partner with AIOps/AgentOps to build systems for agent evaluation, observability, and performance monitoring., • Collaborate with Security, Compliance, and Legal to uphold enterprise AI governance standards and responsible AI practices., • Stakeholder & Customer Engagement, • Collaborate with enterprise teams, data scientists, and engineers to identify pain points, gather feedback, and validate product-market fit., • Communicate product vision and technical trade-offs effectively to executive, business, and technical audiences., • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.Experience, • 8+ years of product management experience, with at least 3 years focused on AI/ML platforms, data infrastructure, or cloud systems., • Proven track record of delivering scalable platform products in complex enterprise environments., • Deep experience with cloud platforms (AWS, Azure, GCP), data pipeline tools, and modern MLOps ecosystems., • Familiarity with agentic AI frameworks, LLM architectures, RAG pipelines, and autonomous systems.Technical Skills, • Strong understanding of distributed systems, APIs, microservices, and data integration architectures., • Hands-on experience or working knowledge of:, • AWS Bedrock, SageMaker, Lambda, ECS, EMR, • LangChain, LangGraph, or similar agentic frameworks, • Airflow, Databricks, Kafka, Spark, and Delta Lake, • Monitoring and observability tools (Prometheus, Grafana, MLflow), • Knowledge of data governance, lineage tracking, and responsible AI frameworks., • Soft Skills, • Exceptional communication, collaboration, and stakeholder-management skills., • Strong analytical and strategic thinking; able to balance short-term delivery with long-term platform evolution., • Adept at translating complex technical concepts into clear business value propositions., • Passionate about building developer-centric, scalable, and ethical AI systems.Why Join Us, • Be part of a high-impact Agentic AI initiative driving innovation across industries., • Work with cutting-edge AI and data technologies in a collaborative, forward-thinking environment., • Shape the foundation for enterprise-wide AI enablement and intelligence automation.