SAP is looking for a Quantitative UX Researcher to help deeply understand how business users engage with SAP's next-generation AI experiences and drive data-informed decisions about the future of AI across the enterprise platform
Requirements
- 7+ years of experience conducting quantitative UX research in product or enterprise AI environments
- Excel at survey design, complex sampling, survey deployment at scale, and mixed-method user studies focused on adoption, usability, and trust of AI in business contexts
- Strong technical skills in SQL, Python, R, or similar, and confidence with statistical analysis, experimental design, and data visualization
- Experience with large-scale data, advanced quantitative methods, and multi-method studies focused on AI feature adoption, usability, or value measurement
- Demonstrated expertise in applied statistics, survey methodology, and user measurement at scale
- Coding skills in SQL and Python
- Understanding of qualitative and user-centered design methods, especially as they relate to AI and business user interactions
Responsibilities
- Drive user-centered AI innovation, uncover what business users need and expect from AI, and translate these insights into opportunities that shape AI product strategy and the overall SAP AI roadmap
- Design and execute large-scale, statistically rigorous studies to reveal how users interact with AI features, understand trust barriers, and measure real-world value and impact
- Develop metrics and longitudinal tracking systems to monitor changes in business user attitudes, trust, efficiency, and adoption of AI-driven capabilities over time
- Surface actionable insights for product and business strategy by using segmentation, behavioral modeling, and advanced analytics
- Partner closely with fellow AI-focused User Researchers, PMs, Designers, Engineers, and Data Scientists to translate insights into intuitive, trusted, and delightful AI solutions for business users
- Be a voice for responsible, human-centered AI and establish research programs that proactively address topics like explainability, fairness, user control, and confidence in AI
- Synthesize complex quantitative findings into clear, compelling recommendations for technical, design, and executive audiences
Other
- Advanced degree (MS/PhD) in a relevant field (HCI, Psychology, Social Science, Information Science, etc.)
- 3+ years of experience in applied product research for AI-driven or data-rich products, ideally in enterprise or business software
- Ability to communicate technical and user-centric insights with clarity, empathy, and strategic vision
- Motivation to solve ambiguous problems in rapidly evolving spaces—especially those unique to the future of AI
- Commitment to personal development and a highly collaborative team ethic
