The opportunity
Stripe’s mission is to increase the GDP of the internet and expand economic access globally. We design tools and infrastructure to help our users start, run, and scale an online business from anywhere in the world.
What you'll do
Lead, manage, coach, and mentor a team of researchers conducting: mixed-methods research throughout the product-development process for Stripe’s Payments and Risk product pillar.
Lead initiatives and guide the research team through artificial intelligence: (AI) transformation in its internal processes, how it conducts research for Stripe users, and how it supports the changing needs of product partners.
Share research insights that deepen Stripe’s understanding of user needs and: identify opportunities to meet those needs.
Grow the team to meet Stripe’s needs while developing individual contributors: to deliver impactful, actionable research studies.
Partner with Design and Stripe leadership to determine how to best use user: research at Stripe and deepen our understanding of users.
Work as a strategic partner to business leads, product managers, design: leaders, and Stripe leadership. Define long-term strategy and short-term tactics for products by grounding decisions in user needs and insights.
What they're looking for
- + years of relevant user research experience working on digital experiences: and generating actionable insights that drive impact.
- + years of people-management and leadership experience.
- Experience directly managing, coaching, and developing a team of user: researchers, as well as recruiting and building research teams.
- Ability to set and achieve priorities that balance the needs of users,: projects, the Research team, and Stripe.
- Experience conducting project work while mentoring and supporting a team of: user researchers as they develop their craft and conduct research.
- Relevant experience in financial technology, particularly payment processing.
- Ability to motivate and inspire people to do their best work.
- Experience conducting complex research at scale using a range of methods,: including qualitative interviews, surveys, ideation sessions, ethnographic field research, usability evaluations, and diary studies.
