Product Researcher

• Raleigh
  - North Carolina
  - United States of America

At Siemens, we help organizations transform maintenance and operations through connected insights, AI-powered technology, and intelligent asset management solutions. Our software enables customers to manage the full lifecycle of assets, facilities, and infrastructure while improving efficiency, reducing risk, and optimizing long-term investments. By connecting data, people, and processes, we empower organizations to make smarter decisions, enhance asset performance, and achieve more resilient operations.

As a Product Researcher at Siemens, Asset Management Software, you’ll be part of a team leading the research for one of our supported verticals (manufacturing, education, healthcare, government) — not just implementing studies, but shaping what questions get asked, what methods get used, and how insights flow into product decisions.

You’ll be a trusted research partner for your product team and a key contributor to Siemens’ broader knowledge of its users. We champion a collaborative, research-driven culture where insights are shared openly, curiosity is encouraged, and researchers have a relevant voice in product strategy.

• Leading the research agenda for a product area by identifying key knowledge gaps and designing research programs to address them
• Executing complex, mixed-methods research programs that combine qualitative depth with quantitative breadth
• Driving the connection between research insights and product strategy — directly influencing roadmap priorities and design direction
• Expanding knowledge management standards for your product area: research repositories, insight taxonomies, and evidence standards
• Acting as a research partner in cross-functional forums — communicating research with confidence to product and design leadership
• Mentoring and developing fellow researchers through structured feedback, coaching, and collaborative research design
• Contributing to research operations improvements: recruiting infrastructure, tooling, templates, and process standards
• Championing ethical research practice — informed consent, participant privacy, and inclusive recruiting

At Siemens, we are committed to creating AI-powered products that are ethical, trustworthy, and centered on real user needs. Every role at Siemens is expected to work with AI and contribute to how we build AI-powered products. In this role you will be:

• Designing and leading research programs specifically studying how users interact with AI-powered features — trust formation, mental model accuracy, automation adoption, and AI error recovery
• Advocating for and embedding responsible AI research practices within your team, while contributing to the development of emerging team standards
• Incorporating advanced AI-assisted analysis techniques to synthesize large, multi-study qualitative data sets
• Building team-level capability in AI research tools and responsible AI research methodology
• Shaping Siemens' understanding of user attitudes toward AI across its product portfolio, informing AI product strategy from a human perspective

We're building a research organization that combines rigorous methodology with business impact, and we're looking for researchers who are excited to influence both product strategy and the future of our research practice.

• 5-8 years of professional user research experience with demonstrated progression in scope and ownership
• Bachelor's degree in Human-Computer Interaction (HCI), Psychology, Anthropology, Sociology, Information Science, Human Factors, Design Research, or a related field, or equivalent practical experience.
• Mastery of mixed-methods research design: comfortable moving fluidly across qualitative and quantitative approaches
• Proven ability to independently lead complex research programs and deliver strategic insights
• Demonstrated ability to work independently while collaborating effectively within cross-functional teams
• Strong collaborator influence skills — able to make the case for research investment and connect findings to business decisions
• Experience in research…