Senior User Researcher II

Responsibilities

• Own the research strategy and roadmap for a core product area, aligning priorities with customer needs, product direction, and business objectives.
• Frame ambiguous questions into focused research plans and select appropriate qualitative, quantitative, generative, or evaluative methods.
• Lead mixed-method research across the product lifecycle, including discovery, concept testing, usability testing, field research, surveys, benchmarking, and post-launch evaluation.
• Translate findings into clear recommendations for Product, Design, Engineering, Data, and business partners.
• Synthesize research with product analytics, customer feedback, Pendo, and Dovetail knowledge.
• Define success measures and evaluate outcomes such as efficiency, comprehension, confidence, error reduction, and customer satisfaction.
• Surface unmet needs, challenge assumptions, and bring customer perspectives into planning and prioritization.
• Use AI to accelerate research planning, analysis, synthesis, and knowledge sharing while protecting participant privacy and maintaining research rigor.
• Create reusable research workflows, maintain a durable research repository, and coach partners and designers on research practices.
• Communicate research status, decisions, risks, and open questions to partners and leadership.

Requirements

• 6+ years of experience conducting user or product research.
• Track record of leading mixed-method studies that influenced product direction and delivered customer and business value.
• Strong command of qualitative and quantitative research methods.
• Experience owning research from problem framing through activation, including study design, participant engagement, facilitation, analysis, synthesis, storytelling, and follow-through.
• Ability to navigate ambiguity, work autonomously, and prioritize competing needs.
• Strong analytical, synthesis, collaboration, influence, and communication skills.
• Pragmatic approach balancing research rigor, speed, risk, and team needs.
• AI fluency and sound judgment regarding participant privacy, data handling, and AI-generated analysis limitations.
• Customer focus, intellectual curiosity, and willingness to challenge assumptions.

Nice-to-haves

• Experience in entertainment, payroll, fintech, accounting, or another complex operational domain.

Compensation and Benefits

• Competitive salary of $149,000–$205,000.
• Health and dental benefits.
• Up to 2% matching RRSP / 401(k).