Staff Ux Researcher

Cohere Cohere · AI Frontier · Toronto, ON · Product

Cohere is seeking a Staff UX Researcher to establish and lead the research practice for their North team, focusing on shipping intuitive and usable AI product experiences for enterprises. The role involves designing research infrastructure, leading complex research initiatives, supporting lighter-weight projects, empowering the FDE team with feedback mechanisms, and defining measurable hypotheses. The ideal candidate will have 7+ years of UX research experience, systems thinking, cross-functional partnership skills, strong communication, enterprise customer experience, and technical literacy in AI.

What you'd actually do

  1. Design and operationalize the systems, frameworks, and infrastructure that keep research organized, accessible, and actionable across the org, and that empower teams to drive research initiatives independently with confidence.
  2. Lead complex research initiatives end-to-end: scoping the approach, recruiting participants, facilitating sessions, and synthesizing findings into clear recommendations that teams can act on.
  3. Support lighter-weight research projects through a consultation model, advising designers and PMs on their approach and reviewing outputs to ensure quality and rigour.
  4. Empower our FDE team with UXR tools and tactics for capturing structured feedback from customer engagements and distilling it into product-relevant insights for roadmap planning.
  5. Support PMs in defining measurable hypotheses at project kickoff and making sense of analytics post-delivery.

Skills

Required

  • UX Research Experience (7+ years)
  • Qualitative and quantitative research methods
  • Translating findings into product decisions
  • Systems thinking
  • Establishing research infrastructure
  • Cross-functional partnership
  • Communication and synthesis
  • Enterprise customer experience
  • Technical literacy in AI and enterprise software

Nice to have

  • Familiarity with AI products or agentic systems

What the JD emphasized

  • establish the infrastructure, methods, and engagement model
  • own the research practice end-to-end
  • shaping how the team understands and responds to user needs
  • defining how enterprises put AI to work
  • 7+ years of experience conducting research
  • track record of translating findings into product decisions that moved outcomes
  • experience establishing research infrastructure from scratch
  • build frameworks, templates, and processes that force multiply your impact