AWS is seeking a Senior User Experience Researcher for Industrial IoT (IIoT) to help us better understand our customers' needs and collaborate with the cross-functional team to build a cohesive experience for operational and IT end users in manufacturing organizations. The intended audience for this work comprises partners, developer communities, and end users. This is a highly innovative space where empowering industrial end-users is a core strategic focus for 2024 and beyond. The IIoT cross-functional team prioritizes customer and end-user understanding through persona and user journey analysis. Research in this field will provide clarity and guide the development of AWS IIoT products and businesses.
The user researcher will play a crucial role in our business, driving the evolution of human factors and human-centered/UX research in product development. They will identify opportunities to increase efficiency, and drive impact across the product roadmap. This Senior UX Researcher will own the roadmap and lead human-centered/user experience (UX) research for the AWS IIoT products and consoles.
This Senior UX Researcher will provide generative (foundational) and evaluative research insights to the AWS IIoT product and UX Design teams. This position will help the AWS IIoT team uncover and explain how customers and end-users improve the performance and productivity of industrial processes - and why they do what they do. In this UX Research role, you will uncover the key jobs-to-be-done (JTBD) in our customers' journeys for operating their AWS IIoT cloud infrastructure. You will work closely with UX Designers and product leadership to determine and prioritize the customer and end-user problems to solve at various stages of IIoT cloud maturity.
Key job responsibilities
The Senior UX Researcher will identify opportunities for innovation and refine how customers use AWS IIoT products and solutions. In this role you will execute strategic research. You will work collaboratively with UX designers, product managers, and engineers to understand opportunities and customer connections for the IIoT product and engineering teams. You will use your deep understanding of human-centered research methods and human factors best practices to uncover customer insights that help drive tactical and strategic impact across the organization.
In addition, you will:
* Identify best human-centered research methods (quantitative and qualitative) to answer question on our users based on research questions, timeline, and resourcing.
* Define and execute a comprehensive research roadmap; communicate and refresh on regular basis to ensure relevancy.
* Gather and analyze human performance, behavioral, and interaction/usage data to test product and UX design hypotheses, derive recommendations for design and actions, and validate human error probabilities.
* Create a deep understanding and empathy for our customers across diverse audiences, including designers, PMs, engineers, and business leaders.
* Work closely with cross-functional teams to identify and prioritize research questions based on analysis of current knowledge, project goals and risks.
* Build and continuously improve a robust and thoughtful approach to gather human factors and product design insights.
* Continually learn, grow, and improve the craft of UX research.
A day in the life
About AWS
Diverse Experiences
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This team is part of AWS Utility Computing:
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
About the team
Being part of the AWS User Research Team is more than delivering great experiences to customers because we also care about your career growth. Once you join the team, you and your manager will jointly craft a career plan and review it regularly to ensure you're on track to meet your goals. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.
BASIC QUALIFICATIONS
• 5+ years proven success leading business-to-business (B2B) User Research projects with demonstrated impact. • Portfolio demonstrating past work experience and deliverables (e.g., study plans, reports, personas). • 5+ years of experience managing all stages of research design (study design, test creation, recruiting, moderation, analysis, reporting). • 5+ years of experience with research methods including: field research/ethnography, usability and human factors evaluation (heuristic assessments, usability testing), concept evaluation techniques, formative research (UX vision and concept testing, iterative design evaluation), large-scale behavioral and sentiment research, and statistical methods used to analyze data related to human performance, behavior, and interaction with systems and products. Ability to design and lead participatory design workshops. • Experience conducting human-centered/UX and human factors research to inform the design and development of multi-tenant and cross-tenant Software as a Service (SaaS) IoT platforms. • BS in Human Factors, Cognitive Psychology, HCDE, or Computer Science with relevant research experience, or similar.
PREFERRED QUALIFICATIONS
· Hands on human-centered/UX research experience in the IoT industry including cloud-enabled devices, device protocols and gateways, data processing or visualization systems, AR/VR uses, or other smart manufacturing technologies. ·· Excellent communication, presentation, interpersonal and analytical skills; the ability to communicate complex concepts clearly and persuasively across different audiences and varying levels of the organization · An unfailing passion and capacity to advocate on behalf of our users. · Experience in a highly agile/scrum environment. · Ability to work in a startup environment. · User research or other experience from a technical field, such as software development, IIoT or similar. · Experience delivering human factors and human-centered research to deliver conversational UIs and digital user experiences that leverage generative AI (genAI) and large language models (LLM). · Meets/exceeds Amazon’s leadership principles requirements for this role. MS or Ph.D. in Human Factors, Human-Computer Interaction, Cognitive Engineering or similar, or equivalent work experience.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $137,000/year in our lowest geographic market up to $226,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.