Quantitative UX Researcher, Applied AI Solutions
Primary stack
Nice to have's
Job description
About the Position
We are seeking a Quantitative UX Researcher who is excited to help shape the future of AI-native business applications at Amazon. This is an opportunity to influence product direction by helping teams understand how customers interact with AI-powered experiences and what drives adoption, trust, usability, and customer value.
Responsibilities
- Lead quantitative and mixed-methods research for AI-powered products, including early-stage concepts and evolving customer experiences.
- Own studies from end to end, including framing research questions, defining hypotheses, selecting methods, identifying measures, analyzing results, and communicating recommendations.
- Design and run experiments, surveys, and behavioral analyses that help teams understand customer needs, product performance, and opportunities for improvement.
- Define and track success metrics related to adoption, trust, usability, comprehension, and customer value in AI-powered experiences.
- Combine findings across research, product usage, and customer feedback to generate clear insights and practical product recommendations.
- Partner closely with product, design, and engineering to support a build, test, learn approach, where evidence informs decisions throughout the product lifecycle.
Requirements
- 3+ years of proven success leading User Research projects with demonstrated impact experience.
- Bachelor's degree in HCDE, Human Factors, Cognitive Psychology, or a related field.
- Experience in leading User Research projects with demonstrated impact.
- Experience (end to end) with all aspects of research (study design, recruiting, moderation, analysis, reporting).
- Experience with lab-based user testing, remote testing, iterative prototype testing, survey design, and usage of multiple methods within a study.
- Have a portfolio demonstrating past work experience and deliverables (e.g., study plans, reports, personas).
Nice to Have
- Master's degree in Human Factors, HCDE, or Cognitive Psychology.
- Knowledge of quantitative data analysis and statistics.
- Experience conducting and applying research in a global context.
- Experience working in a highly Agile/Scrum environment.
We Offer
- Competitive salary range: $120,000 - $190,000 USD/year.
- Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave.
- Opportunity to work with a team at the forefront of AI innovation.
About the Company
AWS Applied AI Solutions is an organization with ambitions to be a leading provider of business applications, leveraging Amazon's unique experience and expertise, used by millions of companies worldwide to manage day-to-day operations. Our mission is to accelerate our customers' businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.
The AWS Applied AI Solutions team is at the forefront of AI innovation, designing and building the next generation of intelligent business applications. We work closely with global Product, Engineering, Science, Marketing, and Business Development teams to deliver compelling AI-powered experiences that transform how businesses operate. Our research team plays a critical role in ensuring these AI solutions are not just technically advanced, but truly meet customer needs and drive meaningful customer outcomes.
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Recruitment & HR Tech,AI & Automation,Fintech,E-learning,Healthcare,E-commerce
About the Company MindPal is a project initiated by Sky Gate Company, designed to address challenges in IT recruitment by connecting companies with candidates through a unique platform. The company focuses on delivering talent, technology, and traction to clients, having successfully partnered with over 250 businesses globally. MindPal specializes in AI-driven digital transformation, offering scalable solutions for startups and enterprises across various industries. Products, Services & Tech Stack Core Solutions AI Agents & Assistants: Intelligent AI agents that automate tasks, manage workflows, and provide real-time support. MVP Development: Transforming business ideas into working products for quick testing and validation. AI Consulting: Expert guidance on AI strategy and implementation. Chatbots: Custom conversational bots for user engagement and support. SaaS Solutions: Scalable cloud-based products tailored to business needs. AI Automation: Tools for optimizing workflows and increasing operational efficiency. Technologies & Frameworks Ruby on Rails React TypeScript Docker Heroku Django Angular Python VOIP Jenkins Project Scope & Target Clients Client Base Verticals: Fintech, e-learning, healthcare, e-commerce. Client Types: Startups and established Fortune 500 corporations. Engineering Scale Scope: Full-stack digital product consulting and partnership. Complexity: Projects range from MVP development to full-scale SaaS solutions.
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