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Tier-1 brand and Bangalore metro increase applicants, but senior, specialized UX research reduces candidate density.
UX research skills are transferable, but enterprise SaaS and service-persona experience increases domain specificity.
Explicit 7+ years, AI fluency, and rigorous mixed-methods requirements make shortlisting highly selective.
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Lead end-to-end mixed-methods research for AI solutions in Salesforce Service portfolio, including qualitative, survey, and statistical analysis.
Drive integration of AI tools (e.g., Claude, Gemini, NotebookLM) into research workflows, validating AI outputs and creating prototypes and dashboards.
Manage research planning, budgets, and cross-functional stakeholder collaboration to influence product roadmaps and ensure ethical oversight of AI research impacts.
7+ years experience in UX, product design, or tech research; minimum 2 years in large, matrixed organization.
Working knowledge of AI systems, including strengths, failures, and when human oversight is needed.
Mastery of qualitative and quantitative research methods including statistical analysis.
University degree focusing on human behavior or research-intensive business discipline (e.g., Psychology, Anthropology, HCI).
Expertise in mixed-methods research balancing strategic and rapid evaluative approaches for AI-driven product development.
Experience collaborating globally across AMER/APAC teams and navigating complex, multi-market needs.
Comfort and interest in AI-first research innovation with ability to translate data insights into clear, actionable product and business strategies.