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Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place!
Lightspeed Commerce is seeking a Staff UX Researcher (Quantitative) to lead research across a wide range of retail experiences and financial services. This role spans multiple product areas — from in-store and online retail solutions to payments, capital, and other financial products — offering the opportunity to shape experiences that reach thousands of merchants worldwide. You’ll work across multiple squads and product domains, helping to grow and mature the UXR practice, fostering a culture of evidence-based decision-making, and leading impactful research that drives strategic and tactical product directions.
The ideal candidate is a data-driven problem solver with deep expertise in quantitative research, analytics, and scaling AI-driven methods. You have a proven track record of translating large, complex datasets into clear insights, building user-friendly experiences from multifaceted information sources, and applying advanced analytical techniques to drive commercial outcomes. You are equally comfortable writing SQL queries against massive datasets, applying statistical models, and collaborating with design, product, and engineering teams to embed intelligent solutions directly into the product.

WHO WE ARE:

Powering the businesses that are the backbone of the global economy, Lightspeed’s one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks.
Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries.
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• Problem Solving & Quantitative Insight: Lead complex research high-impact research initiatives, shaping strategy and vision. Manipulate and analyze large, complex datasets to uncover insights and guide decisions with advanced statistical methods. Break complex challenges into rapid, testable experiments.
• Driving User-Centric, Data-Informed Decisions: Partner with product and data teams to design strategies and projects grounded in robust quantitative evidence. Build living dashboards, metrics frameworks, and automated reporting to track experience performance at scale. Conduct multivariate experiments, and funnel analyses to measure impact and prioritize improvements.
• Systems Thinking: Evolve design and research frameworks to incorporate AI-driven methods and predictive analytics. Think long-term and create sustainable frameworks and methods for UXR that can be adopted, adapted, and evolved across multiple teams. Maintain consistency and quality while enabling faster, evidence-based iteration cycles for cross-functional teams who do research.
• Coaching and Collaboration: Mentor researchers and designers in quantitative methods, analytics tools, and AI integration. Lead cross-functional workshops to align on hypotheses, metrics, and experiment design. Build strong relationships with engineering, data science/analytics, and product management to ensure actionable outcomes. Communicate findings clearly to both technical and non-technical audiences.