You are a senior researcher tasked with managing research programs. Your role includes framing the right questions and delivering insights that guide product direction. You will also collaborate with an international team located in various places. You build trust through clear communication, bring emotional intelligence to every interaction, and solve complex problems with a customer-focused mindset.
Generative research expertise involves finding unmet needs and discovering new opportunities. It also means guiding product strategy through exploration. This requires solid research planning skills. You must frame the right questions, choose suitable methods, and design studies that yield valuable results.
Deep knowledge of user behaviour, mental models, and trust in AI systems, with hands-on experience planning, conducting, and synthesising usability studies across enterprise products.
Proven evaluative research skills. This includes assessing concepts, prototypes, and AI-enabled products. It also includes evaluating large language model outputs and retrieval-augmented generation workflows. You must be able to define meaningful success metrics for these evaluations.
Ability to transform multi-method research data into clear insights, recommendations, and strategic direction that stakeholders can act on.
A practical approach to AI — you use automation and AI tools in daily workflows, design effective prompts, prototype solutions, and take responsibility for the quality and accuracy of AI-generated outputs.
Degree not required for this role.
You'll independently lead end-to-end research initiatives across discovery and evaluation, turning evidence into clear, actionable recommendations that influence product direction.
Develop research plans and run interviews, usability tests, and evaluative studies that produce insights stakeholders can act on.
Design research strategies for AI-enabled products, including experiments, benchmarking, and usability studies.
Evaluate AI systems on quality, trust, and explainability — assessing model outputs and defining what good looks like.
Act as an embedded research partner to local design, product, and engineering teams, identifying the most important research questions and influencing roadmap decisions.
Synthesise findings into clear narratives: stakeholders need to understand what you found and why it matters, not just observe data.
You'll be part of the UX Design Research Team, working closely with design, product, and engineering partners while staying attached to a broader global research community. You'll own research outcomes for your assigned product areas and serve as the primary point of contact for research questions in those domains. Mentoring junior colleagues is a real expectation at this level — how you approach study design, communicate uncertainty in findings, and assess AI system quality sets the standard others learn from. The research challenges here span generative discovery, AI system evaluation, and evidence synthesis for strategic decisions, so you'll consistently navigate problems where there is no obvious method to reach for.
Equal Employment Opportunity (EEO) Statement
Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
About SAP
With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.
As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.
We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone, regardless of background, feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
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AI Usage in the Recruitment Process
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Please note that any violation of these guidelines may result in disqualification from the hiring process.
