You will build and lead the economics research agenda for measurement, experimentation, and value attribution for Amazon's Devices & Services organization. Your team is the "truth layer" of the Intelligence Core - the shared economics and causal inference capability that serves all Devices product lines, marketing pods, and Finance leadership with causal evidence of what Devices are worth and whether our investments are working.
This is not a traditional analytics or measurement role. You will own an active research program in experimentation design - identifying and executing the causal studies that produce the causal inputs for pricing decisions, marketing optimization, and portfolio strategy. Your outputs provide the causal evidence base that L8 peers and senior leadership consume to make billions of dollars in investment decisions across the D&S portfolio. You will also own the economic models that validate and drive execution across the full surface area of marketing spend for devices and services.
Key job responsibilities
Economic Value:
• Downstream value attribution for all Devices product lines - Impact on Prime, subscription lift, consumer spending, advertising value
• Alexa+ value isolation and cross-PL attribution
• Causal frameworks connecting device sales to Prime acquisition, subscription retention, and ecosystem engagement
Marketing Science & Measurement:
• Build the marketing science function from scratch
• Incrementality measurement for marketing spend across all channels
• Attribution methodology, measurement standards, and cross-pod governance
• Marketing ROI frameworks for use by category marketers
• CCM certification methodology and scenario planning models for optimal investment allocation
Experimentation:
• Owning the estimation methodology, identification strategies, data inputs/outputs, and refresh cadence
• You will build this team's analytics function with AI at its core from day one
• Experimentation governance - managing interference across teams, setting standards for causal validity
• Evaluation framework for AI agents and autonomous optimization systems
BASIC QUALIFICATIONS
• 12+ years in economics, econometrics, or causal inference research with increasing leadership scope
• Track record designing and executing causal research programs - including randomized experiments, quasi-experimental methods, and structural estimation
• Deep expertise in applied microeconomics, causal inference, incrementality estimation, or structural econometrics
• Experience managing teams of 30+ across economics, applied science, and quantitative research disciplines
• PhD in Economics, Statistics, Computer Science, or related quantitative field
PREFERRED QUALIFICATIONS
• Experience in consumer electronics, devices, or subscription businesses with complex downstream value chains
• Familiarity with Pro Forma P&L construction and Finance partnership at VP+ level
• Background in both structural long-run economic modeling AND reduced-form in-period estimation
• Experience designing experimentation governance for multi-team organizations
• Comfort operating at the intersection of economic theory, empirical research, and business strategy
• Track record of influencing senior leadership (VP/SVP) with data-driven narratives
• Published research or recognized expertise in applied microeconomics, industrial organization, or platform economics
• Demonstrated ability to translate complex econometric findings into clear executive narratives that drive investment decisions
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 250,000.00 - 338,200.00 USD annually
