Product Management Expert (f/m/d) - SAP Leanix

Help shape how enterprises use architecture and AI governance to make better decisions. At SAP LeanIX, you will turn customer challenges into product opportunities: exploring ideas with customer champions, building working prototypes, and using evidence to shape what comes next. As part of Category Excellence, you will help strengthen our enterprise architecture leadership, advance AI governance, and explore new categories alongside experienced colleagues across Product & Engineering.

What you’ll bring:

• Strong product management experience in SaaS, with a track record of turning customer insight into measurable outcomes. You are comfortable working in agile, cross-functional teams and using AI throughout discovery, development, and learning.
• The ability to shape product vision and translate it into roadmap priorities. You connect customer needs, market developments, and competitive insight to clear choices about where to invest and why.
• Confidence working directly with enterprise customers and customer champions. You listen closely, challenge assumptions constructively, and recognize when an individual request points to a broader product opportunity.
• Hands-on AI-assisted prototyping skills. You can independently build and iterate functional prototypes using vibe coding tools such as Claude Code, Lovable, Figma Make, or equivalents, connecting data and APIs where useful.
• Technical depth gained through engineering experience or equivalent hands-on work. You understand how your prototypes work and can discuss implementation options, integration constraints, and tradeoffs with engineers.
• Practical evaluation skills. You define success criteria, test representative cases, compare results against baselines, and learn from failures. You understand how LLMs, agents, context, retrieval, and MCP can support a solution, and can assess the implications for quality, reliability, permissions, latency, and cost.
• Commercial judgment. You can explore why customers would adopt and pay for a solution, what might hold them back, and how customer value could support future packaging and monetization.
• Curiosity and a pragmatic, creative approach to problems. Emerging AI capabilities inspire you to experiment, and constraints prompt you to explore alternatives. You are open about what you have learned and what still needs testing.
• Initiative and a collaborative mindset. You take responsibility for moving work forward, build trusted relationships, welcome challenge, and communicate clearly in English. You use AI thoughtfully, checking evidence and protecting customer information.

Experience in enterprise architecture, AI governance, or enterprise transformation is a plus. We also welcome fresh perspectives from other SaaS environments and practitioners who can demonstrate strong product management capabilities.

What you’ll build:

• Shape product vision and strategy with Category Excellence and the broader Product & Engineering organization. Bring customer and market insight into choices that strengthen EA leadership, advance AI governance, and open opportunities in additional categories.
• Lead focused discovery engagements with customer champions, from understanding their workflows to testing possible solutions. Work with colleagues to identify where existing platform capabilities or targeted extensions can create value for many customers.
• Explore emerging AI capabilities and propose new product ideas. Work with product, AI, engineering, and UX experts to turn promising opportunities into experiments and evidence-based recommendations.
• Build functional prototypes using vibe coding and AI-assisted development. Put ideas in customers’ hands early, iterate with their feedback, and share what works and what needs further exploration.
• Use evaluations to guide your exploration. Assess AI quality, usefulness, usability, and measurable workflow improvements so recommendations are grounded in evidence.
• Test commercial potential alongside customer value. Speak with champions, users, and buyers to understand adoption, willingness to pay, available budgets, and opportunities for future monetization.
• Partner with the Office of the CTO to explore what is technically possible. Assess options with engineering and recommend together whether to pursue, adapt, partner, or stop an opportunity.
• Build trusted partnerships with capability product teams. Translate discovery findings into roadmap priorities, sequencing, and scope together, balancing value, feasibility, dependencies, and capacity. Stay involved through delivery and adoption to learn from results.
• Willingness to travel up to 20% to meet customers on site, explore their workflows, and build and validate ideas together.

Where you belong:

You will join a team of experienced product, UX, and AI colleagues who shape SAP LeanIX’s direction across enterprise architecture, AI governance, and additional categories. This role combines close customer collaboration, hands-on prototyping, and strategic product thinking to turn promising ideas into immediate and measurable customer value. You will bring your own ideas, lead focused discovery initiatives, and develop them through open exchange with the team.

Your initial focus will be on opportunities that strengthen EA leadership and expand LeanIX into AI governance. You will build on an existing platform while exploring where it should evolve. Your contribution will help the team decide which opportunities offer meaningful customer value, differentiation, technical feasibility, and commercial potential.

You will work closely with capability product teams throughout discovery, prioritization, and delivery. Together, you will shape roadmap decisions, with capability teams retaining roadmap ownership. Your prototypes, evaluations, and customer insights will give these teams a stronger basis for deciding what to build.

We value the skills you bring and support you to build on them through our learning and development opportunities. These are the skills associated with this role:
Customer Engagement · Data-Driven Decision Making · AI-Assisted High-Fidelity Prototyping · Market Research · Product Roadmap Development · Agentic AI Day-to-Day Practice · AI Adoption Capability · AI Output Quality Assurance · Context Engineering · AI-Assisted Automation and Prototyping · Learning Agility · Collaboration · Complex Problem Solving · Creative Thinking · Effective Communication

All your information will be kept confidential according to EEO guidelines.

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