Resume.

Algolia is an API-based B2B search and discovery platform.

• Lead research for Optimization (2025-2026), Cross-Functional (2024-2025), and Growth (2022-2024). Advise product leaders on strategy based on research insights.
• Led 30+ mixed-methods studies spanning product strategy, foundational research, quantitative surveys, and emerging AI experiences, including:
• Led a six-part mixed-methods program to evaluate a proposed Dashboard information architecture, combining content research, card sorting, tree testing, and usability testing with 300+ customers; used quantitative analysis to inform recommendations.
• Led a company-wide Jobs to Be Done research program using unmoderated interviews and surveys (n=92); developed reusable customer frameworks incorporated into PM onboarding, product requirements, and Jira user stories.
• Led foundational research on personas (n=1,200), customer journeys (n=42), and optimization goals (n=100); goal research informed product KPI frameworks and prioritization decisions.
• Led research for an emerging GenAI Toolkit, combining quantitative AI-features research (~80 participants) with qualitative investigation to inform use cases, product naming, roadmap priorities, and API design.
• Created two Customer Advisory Board programs with high-profile enterprise customers, with 8 focus group sessions, to gather early insights on new product developments.
• Partnered with Content Marketing to translate original customer research into public reports on search optimization and retail media, supporting thought leadership and multi-channel marketing campaigns.
• Combined surveys, unmoderated concept testing, usability research, and interviews to refine optimization workflows and suggested-action content; research also contributed to improvements in comprehension, task completion, and feature adoption.