Role Description

• You will lead user research and customer insights efforts to help MagicSchool deeply understand the needs of educators and administrators.
• Bring rigorous qualitative and quantitative research practices to inform product design, strategy, and customer experience at scale.

Responsibilities

• Design and execute end-to-end user research (qualitative and quantitative) including interviews, usability testing, focus groups, and surveys.
• Strengthen and formalize our Voice of Customer program by synthesizing signals from support, surveys, usage data, and social channels to inform product direction.
• Translate insights into clear, compelling narratives that influence product, design, and leadership decisions.
• Serve as the connective tissue across teams by partnering with Product, Design, CX, Sales, and Marketing to ensure customer needs are consistently represented.
• Drive actionable, customer-centric recommendations that improve product experience, increase customer satisfaction, and guide roadmap prioritization.

Experience & Qualifications

• Deep experience leading user research in consumer or enterprise environments.
• Expertise across qualitative and quantitative research methodologies.
• Experience working on products serving millions of users or operating at significant scale.
• Strong storytelling, synthesis, and communication skills; ability to influence cross-functional teams through insights.
• Proven track record of shaping product and design decisions that improve engagement, customer satisfaction, or business outcomes.

Required Experience

• 15+ years driving user research and customer insights.
• Demonstrated success driving measurable improvements (CSAT, NPS, MAU, retention) through research.
• Experience operating in fast-paced, cross-functional environments.

Nice-to-Have Experience

• Background in EdTech or experience working closely with educators/administrators.
• Experience building or scaling a Voice of Customer program from the ground up.
• Familiarity with combining multiple data sources (qualitative, quant, usage analytics) into cohesive insights.

Logistics

• This role will approximately be 15-20 hours/week for a 3 month duration.
• Potential to turn into a full-time role over time, pending performance and value.