Senior Researcher applying mixed-methods research to shape product decisions at innovative AI-native company Webflow. Partnering across teams to deliver actionable insights and inform design decisions.
Responsibilities
Lead end-to-end research for a significant product area.
Independently scope and deliver research that shapes decisions, structuring ambiguous questions into clear learning plans and execution paths.
Partner with Product, Design, Data, and Engineering to align on decision boundaries, timelines, and tradeoffs.
Run multi-method studies across discovery, concepting, prototyping, and post-launch learning.
Build scalable, AI-native research practices.
Use AI to accelerate synthesis and sensemaking (e.g., clustering notes, proposing hypotheses, mapping pain points), while applying strong validation habits.
Build lightweight, repeatable workflows (templates, prompts, checklists) that increase research throughput without compromising rigor.
Share practical AI workflows with teammates and partners; model responsible, privacy-preserving use.
Deliver high-signal qualitative research that informs product & design.
Plan and run strong qualitative studies (interviews, concept tests, usability tests, evaluative walkthroughs, diary studies, etc).
Translate raw signals into clear themes, frameworks, and implications that teams can act on quickly and confidently.
Facilitate working sessions that help teams converge on shared understanding and next steps.
Bring quantitative grounding (without needing to be a specialist).
Triangulate qualitative insights with product usage signals and business context (e.g., KPIs like conversion, activation, adoption, retention, etc).
Design and execute surveys when appropriate (questionnaire design, sampling, analysis).
Conduct primary and secondary analysis (e.g., statistical comparisons, trend analysis, segmentation cuts as appropriate).
Synthesize evidence into decision-ready narratives.
Combine multiple sources of evidence into crisp insights that clarify tradeoffs, risks, and opportunities.
Communicate clearly in both async and live formats; tailor storytelling to PM, Design, Eng, Data, and leadership audiences.
Requirements
Graduate degree or relevant experience.
5+ years in user/product/UX research (or closely related fields).
Demonstrated ability to independently lead mixed-methods research that directly informs product and design decisions.
Strong qualitative portfolio (at least 2 case studies showing your role, methods, synthesis, and impact).
Quantitative grounding: survey design and analysis, and comfort working with product/business metrics.
Experience partnering closely with Data/Analytics teams and using behavioral data to sharpen research.
Experience enabling self-serve research or elevating research practices via templates, systems, or lightweight training.
Principal Scientist leading research and development for Kraft Peanut Butter in Canada. Collaborating with teams to drive product development and ensure quality standards.
Senior Threat Researcher analyzing Windows based malware behaviors and developing protection rules. Collaborating with teams to enhance Sophos' cybersecurity capabilities.
Principal Application Scientist solving complex business needs in scientific environments using Dotmatics SaaS products. Collaborating with clients and internal teams to deliver effective solutions in remote settings.
Senior Statistical Assistant in the UNESCO Institute for Statistics. Support SDG 4 coordination, data management, and administrative tasks for research initiatives.
Senior Machine Learning Scientist at Deep Genomics, developing innovative Biological Foundation Models. Collaborating with interdisciplinary teams to transform drug discovery using AI.
Lead R&D as a Staff Applied Scientist at Afresh, leveraging AI for grocery inventory control solutions. Your work will greatly impact food waste reduction and enhance food quality.
Senior Applied Scientist developing optimizing and ML models for inventory management at MaintainX. Shaping decision processes and interacting closely with product and design teams.
AI and Data Scientist at Verily enhancing healthcare solutions with AI and data - driven insights. Collaborating with experts to build scalable tools from complex clinical datasets.
Product Research Scientist at SandboxAQ translating scientific research into production - ready software solutions. Collaborating with ML and computational chemistry teams for drug discovery efforts.