
51 - 200 employees
Founded 2017
âïž SaaS
đą Enterprise
đ° $2.5M Seed on 2018-06
SaaS âą Enterprise
Pulse Labs is an AI-powered research platform that helps product, UX, and design teams capture and analyze real user feedback across multiple research methodologies â surveys, interviews, evaluations, observations, and in-app integrations. It offers participant sourcing via a vetted panel (Pulse Voicesâą), an SDK (FlightRecorder) for embedded in-app feedback, automated AI tools to organize and surface insights, benchmarking and enterprise features with GDPR and ISO 27001 compliance. The platform targets enterprises and teams seeking end-to-end user research solutions.
đ„ 25 minutes ago
đ United States, Canada, +3 more countries â Remote
â° Full Time
đ Senior
đ§Ź Research Scientist
đ» Ghost score 10%
Where this job comes from
Posted on Pulse Labs's careers page, not through a job board
First seen by Remote Rocketship 25 minutes ago
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51 - 200 employees
Founded 2017
âïž SaaS
đą Enterprise
đ° $2.5M Seed on 2018-06
SaaS âą Enterprise
Pulse Labs is an AI-powered research platform that helps product, UX, and design teams capture and analyze real user feedback across multiple research methodologies â surveys, interviews, evaluations, observations, and in-app integrations. It offers participant sourcing via a vetted panel (Pulse Voicesâą), an SDK (FlightRecorder) for embedded in-app feedback, automated AI tools to organize and surface insights, benchmarking and enterprise features with GDPR and ISO 27001 compliance. The platform targets enterprises and teams seeking end-to-end user research solutions.
âą Partner directly with enterprise clients to scope, design, and align research plans with business goals, technical requirements, and delivery timelines âą Architect and lead end-to-end mixed-methods research using advanced survey design, UX methodologies, and questionnaire frameworks âą Own the planning, execution, and delivery of fast-paced, multi-track research studies âą Collaborate with Program Management, Recruitment, and Operations to monitor project health, safeguard data quality, enforce timelines, and maintain methodological rigor âą Analyze participant video recordings, transcripts, and open-ended feedback to uncover behavioral drivers and product opportunities âą Run advanced statistical analyses, including MaxDiff, conjoint analysis, and factor analysis âą Translate complex data into executive summaries, scorecards, slide decks, and detailed analytical reports âą Present findings and strategic recommendations to cross-functional teams and executive leadership across technology verticals âą Coach and mentor junior researchers and analysts âą Refine research workflows, streamline operational processes, and integrate lessons learned from project cycles
âą Must be fluent in English âą 5+ years of mixed-methods research experience leading end-to-end quantitative and qualitative investigations in a fast-paced, detail-oriented research operations environment âą Proven expertise across the entire research lifecycle, from study design and advanced data collection to analysis and synthesis âą Deep familiarity with UX, behavioral, and human-centered design frameworks âą Track record of managing client/consulting relationships âą Success translating complex findings and presenting original and peer-conducted research to senior and executive stakeholders âą Strong pattern recognition and anomaly detection skills âą Ability to identify subtle behavioral trends and ensure data integrity across large, multimodal datasets âą High degree of personal ownership, proactivity, and operational rigor âą Comfortable navigating ambiguity and self-initiating solutions in a rapid-response, multi-project setting âą Ability to partner effectively with internal teams, external stakeholders, and clients âą Advanced proficiency in Google Workspace (Docs, Sheets, Slides) âą Adaptability with modern analytical, panel management, and proprietary SaaS platforms âą Graduate degree in Psychology, Survey Methodology, HCI, Human Factors, Research Methods, or a closely related field âą Prior experience in an agency, consultancy, or vendor-side research environment delivering client-facing insights preferred âą Experience conducting research for or working within FAANG/tier-one tech companies preferred âą Hands-on familiarity with next-gen consumer technologies, hardware, or AI-driven product ecosystems preferred
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