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Job Title: UX Research Manager β AI Mode
Client: Google
Location: Mountain View, CA
Duration: 12-Month Contract
Employment Type: W2 Only
Job Overview:
We are seeking an experienced UX Research Manager to lead user research initiatives focused on AI-powered products and experiences.
The ideal candidate will have a strong background in UX research, human-computer interaction, AI/ML product development, and people management. This role will lead a team of researchers responsible for understanding user behavior, evaluating AI-generated experiences, identifying usability issues, and influencing product strategy through data-driven insights.
The candidate should be comfortable partnering with product, engineering, design, data science, and executive leadership teams in a highly collaborative environment.
Key Responsibilities:
Research Leadership & Team Management:
Job Title: UX Research Manager β AI Mode
Client: Google
Location: Mountain View, CA
Duration: 12-Month Contract
Employment Type: W2 Only
Job Overview:
We are seeking an experienced UX Research Manager to lead user research initiatives focused on AI-powered products and experiences.
The ideal candidate will have a strong background in UX research, human-computer interaction, AI/ML product development, and people management. This role will lead a team of researchers responsible for understanding user behavior, evaluating AI-generated experiences, identifying usability issues, and influencing product strategy through data-driven insights.
The candidate should be comfortable partnering with product, engineering, design, data science, and executive leadership teams in a highly collaborative environment.
Key Responsibilities:
Research Leadership & Team Management:
- Lead, mentor, and grow a team of UX researchers.
- Provide coaching, performance management, and career development support.
- Establish research best practices and operational excellence.
- Foster a culture of curiosity, innovation, and user-centered thinking.
- Define and execute a comprehensive UX research roadmap.
- Align research priorities with product strategy and business objectives.
- Design and oversee qualitative and quantitative research initiatives.
- Drive research programs that inform AI product development and user experience decisions.
- Usability Testing
- User Interviews
- Surveys
- Contextual Inquiry
- User Journey Analysis
- Behavioral Research
- Concept Testing
- Product Validation
- Mixed Methods Research
- Evaluate AI-generated outputs against user expectations and instructions.
- Analyze user interactions with AI systems and conversational experiences.
- Identify AI failure modes, usability gaps, and intent understanding issues.
- Provide actionable recommendations to improve AI experiences and product quality.
- Partner with Product and Engineering teams to optimize AI model performance from a user experience perspective.
- Define and improve research methodologies, frameworks, and processes.
- Ensure consistency, rigor, and quality across research programs.
- Develop scalable research practices and standards.
- Communicate insights effectively to stakeholders at all levels.
- Bachelor''s degree or equivalent practical experience.
- 8 years of experience in UX research, applied research, human factors, behavioral research, or related disciplines.
- 3 years of people management experience.
- Experience leading research initiatives for AI/ML products and technologies.
- Experience developing and launching technology products.
- Strong expertise in both qualitative and quantitative research methods.
- Excellent communication, presentation, and stakeholder management skills.
- Master''s Degree or PhD in:
- Human-Computer Interaction (HCI)
- Cognitive Science
- Psychology
- Anthropology
- Statistics
- Related Research Discipline
- 7 years of experience working with executive leadership teams.
- 5 years of project leadership experience in large matrix organizations.
- Experience influencing product strategy through research insights.
- Experience evaluating AI-generated content, conversational systems, or generative AI experiences.