About this role
At IBM Software, we transform client challenges into solutions. Building the world’s leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You’ll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance your career while creating software that changes the world. About the role: IBM Concert® is an agentic IT Ops platform that creates an adaptable, unified operational layer across your environment. It connects signals, generates shared context, and coordinates action across teams and tools, so your entire system operates as one. With cross-domain intelligence, Concert helps you reduce risk, maintain business continuity, improve performance, and optimize cost across the stack. Powered by agentic AI, it surfaces what matters, prioritizes by business impact, and orchestrates action through governed workflows. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the Concert's AI Services. This system sits at the heart of Concert, with an MCP server and a system of AI agents specialized to do various tasks. You'll own the service end to end, leading a small team of product managers and partnering with peer product managers who own the other platform services. This is a high impact role, defining an emerging capability in a highly competitive market. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Concert as a leading agentic IT operations platform. What You Will Do: Own the product strategy for Concert's AI service, which includes MCP servers, knowledge graph and AI agents Develop competitive strategy against established and emerging competitors Drive key architectural and product tradeoffs Partner deeply with engineering to navigate the technical complexity of a platform AI service Collaborate with peer product managers who own downstream experiences including data services, observability, vulnerability management and optimization experiences Work with customers and design partners to validate use cases Collaborate with IBM's broader product teams to drive integration and adoption Define success metrics, cost models, and pricing strategy Executive-level communication and cross-functional leadership • Deep AI Solution Knowledge: Deep expertise in IBM's AI Solution portfolio, including areas such as machine learning, deep learning, reinforcement learning, brain-inspired algorithms, and knowledge representation and reasoning. • Technical Direction Experience: Experience with providing detailed direction on key technical tasks to launch an offering feature, offering, or collection of offerings in the portfolio. • Outcome Metrics Management: Experience in managing key outcome metrics, including customer satisfaction, accessibility, and revenue and profitability of assigned offerings. • Cross-Functional Collaboration: Experience driving cross-functional collaborative efforts to meet offering schedule commitments and managing associated risks. • AI Technology Expertise: Deep understanding of AI technologies, including computer vision, NLP, question answering, and quantum and neuromorphic architectures for next-generation AI. • Advanced AI Research Knowledge: Familiarity with research in areas such as causal inference, knowledge induction, and symbolic and trainable logic can be beneficial in this role. • Next-Generation AI Architectures: Understanding of quantum and neuromorphic architectures for next-generation AI can be advantageous in developing innovative AI solutions. • Specialized AI Technologies: Knowledge of specialized AI technologies, including computer vision and NLP, can be valuable in designing and delivering AI offerings. United States Product Management Professional Austin, US (0147) International Business Machines Corporation