Senior User Researcher, Enterprise & Platform

Responsibilities

• Own high-impact research for the Enterprise & Platform area, focusing on admin, IT, and builder experiences.
• Conduct mixed-methods research across the product lifecycle—foundational, generative, evaluative, and post-launch.
• Help shape critical product areas including admin onboarding, platform setup, governance and permissions, billing and consumption visibility, and ROI reporting.
• Generate actionable insights that improve deployment, rollout confidence, adoption, and long-term customer value.
• Partner closely with Product, Design, Engineering, Data Science, and cross-functional stakeholders to influence roadmap and execution.
• Mentor and enable others to run high-quality evaluative research when appropriate.
• Use AI tools thoughtfully across the research workflow while maintaining rigor, sound judgment, and high-quality outputs.

Requirements

• 5–7+ years of User Experience Research (UXR) experience, with a proven track record of shaping B2B or enterprise product strategy.
• Deep expertise with IT, admin, and builder personas—specifically researching deployment, governance, and configuration in complex software environments.
• Strong systems-thinker capable of navigating multi-stakeholder ecosystems (buyers, admins, end-users, security) to balance competing needs and risk thresholds.
• End-to-end impact—ability to connect research on ROI, time-to-value, and adoption directly to shipped product decisions alongside PM, Design, and Engineering.
• Mastery of qualitative methods (contextual inquiry, journey mapping, JTBD) combined with strong quantitative research skills (survey design, statistical literacy, and triangulation with behavioral product data).
• Self-directed and scrappy—comfortable scoping, recruiting, and driving research independently in a fast-paced, ambiguous environment.

Nice-to-Haves

• Working knowledge of SQL or a scripting language such as Python or R for exploratory analysis.
• Experience with enterprise security, compliance, or governance research, including developer tools, APIs, platform products, or technical setup workflows.
• Familiarity with enterprise APIs, MCP, connectors, or integration architecture.
• Background in productivity tools, collaboration software, or knowledge management.
• Applied AI proficiency: hands-on experience using AI tools across the research lifecycle, with strong judgment about rigor, bias, and reliability.