Role Description Market Research at Thumbtack partners closely with marketing and product teams to serve as an advocate for our customers and pros. As a senior, genuinely mixed-methods researcher, you'll scope and run both qualitative and quantitative studies end to end — from brand, positioning, and message testing to strategic segmentation and product discovery — and turn them into insights that shape marketing strategy and key product decisions. You'll do this with a high degree of independence in a fast-paced environment, and you'll use AI fluently to work faster and at greater scale. What you’ll do - Research Planning & Execution: Independently scope and run mixed-method studies end to end — including surveys you design, program, field, weight, and analyze yourself — ranging from strategic, exploratory work to tactical tests. - Marketing & Cross-Functional Partnership: Partner closely with marketing, brand, product, design, and data science to identify high-impact research opportunities, and influence decisions. - AI-Accelerated Research: Use AI tools across the research lifecycle (synthesis, analysis, instrument and guide drafting, reporting) to work faster and at scale, while critically evaluating AI outputs for accuracy and bias. - Synthesize & Share Insights: Turn qualitative and quantitative data into compelling, trustworthy stories through reports and presentations that influence direction at all levels of the company. - Methodology Selection: Choose the right method (or combination) for the problem — surveys, segmentation, brand and message testing, in-depth interviews, diary studies, unmoderated testing, and more. - User & Market Advocacy: Champion the needs of pros and customers, and bring an outside-in market and competitive perspective to how we position and communicate. Qualifications - 10+ years of market research experience in fast-paced, consumer-facing organizations, with a track record of senior, staff-level independent impact. - Genuinely mixed-methods and hands-on with quant: you personally run surveys end to end — design, programming, fielding, weighting, and analysis — and bring a strong qualitative toolkit (e.g., in-depth interviews, focus groups, diary studies, unmoderated testing). - Deep expertise in survey design and analysis, segmentation, weighting and response effects, competitive analysis, and large-scale quantitative data, plus positioning, message testing, value proposition, and brand/advertising research. - High AI fluency: hands-on use of AI to accelerate and scale research, paired with the judgment to evaluate outputs critically and apply them responsibly. - Highly independent and influential: self-directed in scoping and driving studies to decisions with minimal oversight, with a track record of moving marketing and product decisions through research — including with skeptical stakeholders. - Proficiency with research tools (e.g., Qualtrics, dScout) and data analysis tools (e.g., SPSS, R, Python), and a strong grasp of when to apply qualitative vs. quantitative methods. - Degree in a human-behavior-related field (e.g., Market Research, Business, HCI, Economics, Psychology) or equivalent practical experience (MA/MS/PhD preferred), with excellent communication, influence, and collaboration skills. Requirements - Expected salary ranges for candidates living in Ontario and British Columbia: $176,800.00 - $228,800.00. - Actual offered salaries will vary based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. Benefits - Thumbtack embraces diversity and is proud to be an equal opportunity workplace. - We do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by law. - We consider qualified applicants with arrest and conviction records, consistent with applicable law. - Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities.

• UX-Vision und -Konzept für die Integration der Market Apps ins globale Ökosystem definieren und vorantreiben • User Research, Kundeninterviews und Customer-Journey-Analysen für die drei Kernzielgruppen planen und durchführen • Business-Anforderungen, Kundenbedürfnisse und Nutzungsdaten in klare UX-Konzepte, Wireframes und Interaction Flows übersetzen und an das UI-Design-Team übergeben • Registrierungs-, Onboarding-, Login- und Account-/Admin-Flows des Kundenportals konzipieren und optimieren • UX-Konsistenz über das Portfolio sichern: UX-Patterns, -Prinzipien und Best Practices definieren und weiterentwickeln • Impact datengetrieben auswerten und Erkenntnisse in Feature-Priorisierung und Produktstrategie zurückspielen

• Own the research roadmap for your product area, identifying the opportunities with the highest potential for customer and business impact. • Manage and mentor a small team of researchers, supporting their growth and the quality of their work. • Lead research planning and execution end to end, building alignment with cross-functional peers and stakeholders throughout the process. • Collaborate with Product, Design, and Engineering partners to align research priorities with business goals. • Synthesize research with other sources of data, such as product analytics and competitive intelligence, to surface patterns and opportunities and tie product levers to business results. • Translate complex findings into clear narratives and actionable recommendations, and present them to stakeholders at all levels, including senior leaders. • Contribute to scalable research practices and infrastructure that advance Smartsheet's UX maturity, including sourcing vendors to augment your team.

Role Description Join a leading AI lab at the forefront of scientific AI innovation and help shape the next generation of AI systems capable of advanced scientific reasoning. We are seeking accomplished researchers in biology, biophysics, and related life science disciplines to contribute their expertise toward training and evaluating frontier AI models. This role is designed for highly accomplished scientists whose research experience reflects meaningful contributions at the cutting edge of their field. This is a part-time engagement requiring approximately 8–20 hours per week. Key Responsibilities - Develop Advanced Scientific Content - Design and review challenging biology and biophysics problems used to train and evaluate advanced AI systems. - Create research-grade tasks that require deep scientific reasoning and domain expertise. - Evaluate AI Scientific Reasoning - Assess model-generated responses across topics such as: - Molecular mechanisms - Experimental design - Structural and functional biology - Scientific literature interpretation - Biological data analysis - Hypothesis generation and evaluation - Provide detailed feedback to improve model performance and scientific accuracy. - Identify Knowledge Gaps - Detect reasoning errors, misconceptions, and limitations that experienced researchers would readily recognize. - Help guide the development of more robust and scientifically reliable AI systems. - Collaborate with Scientific Experts - Work alongside researchers, AI specialists, and fellow domain experts to maintain high standards of scientific rigor. - Contribute to ongoing improvements in evaluation methodologies and training frameworks. Qualifications - First-author or co-first-author publications in highly respected scientific journals. - Doctoral or postdoctoral training from leading global research institutions. - Competitive research fellowships, grants, awards, or other indicators of scientific excellence. - Patents, technology commercialization experience, startup involvement, or funded research leadership. - Current or recent experience as: - PhD Candidate - Postdoctoral Researcher - Research Scientist - Principal Scientist - Faculty Member - Industry Researcher - Research Fellow - Outstanding senior PhD candidates and recent graduates with exceptional publication records are strongly encouraged to apply. Requirements - PhD (completed or in advanced stages) in Biology, Biophysics, Neuroscience, Immunology, Molecular Biology, Genetics, Structural Biology, Genomics, Bioengineering, or a closely related discipline. - Demonstrated research excellence through publications, scientific contributions, patents, grants, or equivalent achievements. - Deep expertise in one or more life science domains. - Strong analytical thinking and scientific reasoning skills. - Excellent written communication and technical documentation abilities. - Ability to critically evaluate scientific arguments, experimental designs, and research findings. Preferred Qualifications - Experience working at the intersection of computational and experimental biology. - Familiarity with AI, machine learning, scientific computing, or data-driven research methodologies. - Experience reviewing manuscripts, grant applications, or scientific publications. - Broad interdisciplinary knowledge spanning multiple life science domains. Engagement Details - Part-time commitment of approximately 8–20 hours per week. - Flexible scheduling. - Long-term opportunities based on project needs and expertise alignment. - Compensation will be commensurate with research experience, scientific achievements, and domain expertise. Why Join - Contribute directly to the development of next-generation scientific AI systems. - Help define how AI models reason about complex biological and biophysical research questions. - Collaborate with leading researchers and AI experts working at the frontier of science and technology. - Apply your scientific expertise to impactful projects shaping the future of AI-driven discovery. Equal Opportunity Statement All qualified applicants will be considered without regard to legally protected characteristics. Reasonable accommodations are available upon request.