StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.

What You'll Be Doing:

• Lead research strategy and execution across 3–4 product teams, running mixed-method studies (qualitative & quantitative) to tackle complex problem spaces
• Frame and scope ambiguous research problems, translating complex business questions into clear research plans with defined objectives and expected outcomes
• Go beyond delivering reports by facilitating workshops (e.g. ideation, solutioning) that translate validated findings into prioritized product requirements and tangible design solutions
• Act as a strategic partner to Product and Design stakeholders by proactively identifying research opportunities, challenging assumptions and representing the user perspective in trade-off discussions
• Contribute to product roadmaps by ensuring research findings shape both immediate development cycles and longer-term planning
• Build and maintain resources that enable stakeholders to run quality research independently; consult on and provide feedback on stakeholder-led research plans
• Identify and implement improvements to UXR tools and processes, including leveraging AI to create repeatable, scalable workflows that raise the quality and efficiency of research across the product org
• Collaborate with research-adjacent teams (e.g. Product Analytics, Product Marketing) to synthesize insights and avoid redundant work

What You'll Bring to the Table

• 4–7 years of applied UX research experience, with a portfolio demonstrating research-informed decision-making and the ability to extract actionable insights from qualitative and quantitative data in complex technology spaces
• Proficiency across a broad range of qualitative and quantitative research methods, with experience running mixed-method studies and knowing when to apply each approach
• Hands-on experience integrating AI tools into your research workflow, whether for synthesis, analysis, recruiting, or other stages of the research process 
• Experience operating with autonomy across multiple product teams or squads and managing 1–3 concurrent studies with varying timelines and support models
• Excellent communication skills with a track record of tailoring insights and recommendations for diverse audiences, from product development teams to executive leadership
• Experience facilitating workshops (e.g. ideation, co-creation) and actively driving research findings into product decisions (not just awareness)
• Demonstrated ability to build relationships with cross-functional partners and coach them on research best practices and study design
• Familiarity with digital advertising, data privacy regulations (e.g. GDPR, CCPA), and evolving industry trends such as cookieless targeting or AI-driven optimization 
• Experience conducting UX research on AI-powered features or products (with an understanding of the unique challenges this entails) is a strong asset