Chief Research & Insights Leader - Experience Design

Ladders; San Francisco (CA); On-site; USD 399,000 - 453,000; Full time

Benefits offered by this job

Executive leadership role

Competitive compensation

Job summary

Ladders in San Francisco seeks a Senior SVP, Research & Insights for Experience Design to shape the organization’s research strategy informing product, design, and business decisions across multiple products. The role emphasizes evidence-based decision-making and durable systems for analyzing customers and operations.

The ideal candidate brings deep expertise in qualitative research, behavioral science, and mixed methods, with a strong view on how AI and automation affect human–machine

Qualifications

• Proven experience leading research in a complex, multi-product environment.
• Demonstrated impact of research on product strategy and operational decisions.
• In-depth knowledge of qualitative research, behavioral science, and mixed methods.
• Familiarity with AI, automation, and human–machine collaboration.
• Ability to integrate diverse research evidence while maintaining context across teams.

Responsibilities

• Establish a unified research and insights agenda aligned with the organization’s most important decisions.
• Build a live understanding of customer behavior, operational dynamics, and business needs.
• Influence product strategy through foundational and evaluative research.
• Create a comprehensive evaluation system for ongoing product performance.
• Design models for assessing human-agent collaboration variables.
• Integrate research insights across multiple organizational functions without duplication or overlap.
• Develop a robust knowledge system for accessible customer and product evidence.

Skills

Leadership

Qualitative Research

Behavioral Science

Mixed Methods

AI & Automation

Job description

Ladders in San Francisco seeks a Senior SVP, Research & Insights for Experience Design to shape the organization’s research strategy informing product, design, and business decisions across multiple products. The role emphasizes evidence-based decision-making and durable systems for analyzing customers and operations.

The ideal candidate brings deep expertise in qualitative research, behavioral science, and mixed methods, with a strong view on how AI and automation affect human–machine