Newtonx The Associate Manager, Research & Innovation at NewtonX designs, tests, and scales new research offerings with a focus on innovation and methods. The role also manages team operations and raises AI fluency across the company.
Responsibilities
NewtonX builds research methods and products that will define the future of B2B research. We are looking for a Research & Innovation Associate Manager to design, test, and scale new research offerings. Examples of products we’ve previously / are currently rolling out include synthetic personas, NewtonX Augmented Data (NXAD), and other AI-powered capabilities. The role also helps run the team’s operations and raise AI fluency across the company.
This is a builder’s role. Innovation and methods will be 60-70% focus of the role. Operations and enablement make up the rest to ensure seamless team functioning and execution while rolling out new methods. What you help build to enable colleagues on the strategic insights team will feed directly into the products you build.
Location: NYC (hybrid) or US/Canada (remote)
Innovation & Methods (primary focus)
Design, build, and validate new research methods and products based on industry trends and client pain points. These may include novel analytics methodologies or AI-powered tools
Maintain and enhance existing products (e.g., synthetic personas), as needed
Develop rigorous validation frameworks that test AI-generated and simulated outputs against primary research data
Apply statistical and behavioral modeling, such as choice modeling, simulation, and psychometrics, to improve the accuracy and reliability of new methods
Use AI agents and LLM workflows as core tools in product development, from prototype to production
Turn methodological advances into client-ready offerings, working with Strategic Insights, Sales, and Product
Track developments in AI, behavioral science, and research methods, and identify opportunities for NewtonX
Own team productivity metrics, margin tracking, and reporting
Qualification
Master’s degree or PhD in psychologyHeavyClear written and verbal communicationPhD in one of the fields aboveExperience in market research
Required
Master’s degree or PhD in psychology, statistics, economics, behavioral simulation, or a related quantitative field
Strong statistical skills and hands-on coding experience in R
Heavy, daily AI user with hands-on experience building or working with AI agents
Ability to turn ambiguous ideas into working prototypes and tested methods
Clear written and verbal communication, including explaining technical methods to non-technical audiences
Comfortable working independently in a fast-moving, evolving environment
Preferred
PhD in one of the fields above
Experience in market research, survey design, or applied B2B or consumer research
Familiarity with methods such as conjoint, MaxDiff, segmentation, and key driver analysis
