Senior UX Researcher – AI Monetization & Digital Ads

Duration : 7 Months Location : Mountain View, CA (onsite in a hybrid model) About the Role : We are looking for a Senior UX Researcher to lead research strategy for AI-driven monetization and digital advertising experiences. In this role, you will shape how businesses connect with users through data-informed, human-centered ad experiences across search and digital platforms. You will partner with cross-functional teams — including Product, Design, Engineering, and Data Science — to define the advertiser and user experience strategy for next-generation monetization products. This position offers the opportunity to drive research that influences both product design and business strategy in a rapidly evolving, AI-first environment. Key Responsibilities : Lead end-to-end UX research for digital advertising and monetization initiatives — from exploration and concept validation to post-launch evaluation. Apply a wide range of qualitative and quantitative methods, including interviews, usability testing, concept validation, surveys, and data analysis. Translate complex findings into clear, strategic insights that influence product vision, ad formats, and monetization models. Collaborate closely with cross-functional partners to ensure advertiser and user needs are reflected in design and product decisions. Investigate advertiser pain points, perceptions of automation and AI, and opportunities to improve campaign experience and ROI. Conduct mixed-method studies combining UX, behavioral, and business data to drive holistic product understanding. Champion research-driven decision-making and mentor others in methodological best practices. Minimum Qualifications : UX research experience, including work in digital advertising, search monetization, or related business-to-business products. Understanding of search, display, or performance-based ad ecosystems and advertiser workflows. Proven track record of independent research leadership, influencing complex product ecosystems. Expertise in both qualitative and quantitative research methods and the ability to determine appropriate approaches for each project. Experience conducting research with advertisers, agencies, or business users in ad tech, martech, or analytics environments. Preferred Qualifications : Experience with AI- or ML-powered systems, especially in automation, personalization, or targeting contexts. Skilled in storytelling and stakeholder alignment to drive impact across multidisciplinary teams. Education : Bachelor’s degree or equivalent practical experience. About US Tech Solutions : US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.