Product Manager – AI Solutions

Applied Materials • Austin, TX

1d • Onsite

About The Position

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits .

Requirements

• Strong knowledge of modern Agentic AI architectures and understand how enterprise AI solutions are built, integrated, and deployed.
• Understanding of Agentic AI Architecture
• Ability to understand and discuss: AI Agents and Multi-Agent Systems, Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agent Orchestration Frameworks, Semantic Layers and Enterprise Knowledge Systems, Agent Memory and Context Management, Human-in-the-Loop Workflows, AI Governance, Security, and Responsible AI, Observability, Monitoring, and Evaluation of AI Systems
• Enterprise Integration & APIs: Strong understanding of how AI agents interact with enterprise systems through: REST APIs and Application Integrations, ERP, CRM, MES, PLM, Service, and Manufacturing systems, Enterprise Data Platforms and Knowledge Repositories, Event-Driven Architectures and Workflow Automation Platforms, Authentication, Authorization, and API Security Concepts
• Model Context Protocol (MCP): Working knowledge of the Model Context Protocol (MCP) and related frameworks, including: How MCP enables LLMs and AI agents to securely access external tools, applications, and enterprise data sources, Managing tool integrations and agent capabilities through standardized interfaces, Understanding of agent-to-tool communication patterns, Experience defining business requirements for MCP-enabled ecosystems that connect enterprise applications, workflows, and AI agents, Ability to partner with architects and engineers to identify use cases where MCP can accelerate integration and agent effectiveness
• AI Platform Awareness: Familiarity with modern AI ecosystems such as: Databricks, Lang Graph, Semantic Layers, Vector Databases and Enterprise Search Platforms
• Business Expertise: Understands how AI can improve operational efficiency, productivity, quality, and business decision-making. Identifies high-value opportunities for workflow automation and intelligent process orchestration. Develops business cases and value realization strategies for AI investments. Anticipates organizational, process, governance, and adoption challenges associated with enterprise AI deployments.
• Leadership: Leads cross-functional product teams consisting of business stakeholders, architects, AI engineers, data engineers, and data scientists. Influences decision-making across technical and business organizations. Drives collaboration between global teams located in the United States, India, and Singapore. Establishes governance, operating models, and stakeholder engagement frameworks for AI product delivery.
• Communication & Presentation Skills: Exceptional PowerPoint and executive communication skills. Ability to create compelling presentations that clearly communicate business value, product strategy, roadmap, architecture, risks, and ROI. Strong visual storytelling skills, including process flows, architecture diagrams, operating models, product roadmaps, and executive dashboards. Comfortable presenting to senior leadership, steering committees, technical teams, and business stakeholders. Ability to simplify complex Agentic AI concepts into clear, actionable business narratives.

Nice To Haves

• Experience managing AI, GenAI, Digital Transformation, Process Automation, or Agentic AI products.
• Experience working with globally distributed teams and offshore development organizations.
• Strong understanding of enterprise applications, APIs, workflow automation, and AI integration patterns.
• Experience working with AI platforms, copilots, agent frameworks, and intelligent automation solutions.
• MBA, Engineering, Computer Science, Information Systems, Analytics, or related degree preferred.

Responsibilities

• Own the product lifecycle for Agentic AI initiatives from ideation through deployment and value realization.
• Partner with business stakeholders across engineering, manufacturing, supply chain, service, and corporate functions to identify opportunities for AI-driven workflow transformation.
• Gather requirements, facilitate workshops, document business processes, and translate business challenges into product roadmaps, user stories, and implementation plans.
• Lead cross-functional teams across the United States, India, and Singapore to deliver AI-enabled products on schedule and within budget.
• Drive prioritization of product backlogs, roadmap decisions, release planning, and stakeholder communication.
• Define success metrics, business KPIs, adoption goals, and ROI targets for AI initiatives.
• Work closely with architecture and engineering teams to ensure solutions are scalable, secure, governed, and aligned with enterprise standards.
• Develop executive presentations, strategy decks, architecture reviews, and steering committee updates that effectively communicate business value, progress, and risks.
• Lead product demonstrations, stakeholder reviews, and adoption planning activities.

Benefits

• Supportive work culture that encourages learning, development, and career growth.
• Empowerment to push boundaries and learn every day.
• Programs and support for personal and professional growth.
• Comprehensive benefits package.
• Potential eligibility for bonus and stock award program.
• Relocation assistance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior