Are you passionate about solving some of the most challenging and impactful measurement questions in B2B marketing? AWS Marketing is looking for an Economist to develop the science behind how we measure and optimize brand awareness investment. This is a greenfield opportunity to build a brand measurement capability from the ground up — defining the frameworks, methodologies, and best practices that will shape how AWS thinks about upper-funnel investment.
In this role, you will lead the design and development of a measurement framework for AWS's brand and upper-funnel marketing investments. You will work at the intersection of economics, marketing science, and business strategy to answer critical questions: How much should AWS invest in brand awareness globally, and over what time horizon? What is the impact of brand on customer preferences such as willingness to pay and cost of conversion? How should brand and demand generation investments be combined to maximize overall returns? How do upper-funnel salience metrics connect to revenue and long-term business outcomes?
This is as much a consulting role as it is an analytical one. You will frame investment questions and present findings to senior leadership (VP-level and above), operate independently in a space where established methodology does not yet exist in B2B marketing, and bring external best practices to inform a novel, credible approach tailored for AWS.
Key job responsibilities
- Design and build a rigorous measurement framework for brand and upper-funnel marketing investment at AWS
- Develop econometric models to estimate the causal impact of brand awareness on customer preferences, acquisition costs, and revenue
- Quantify the optimal level of brand investment and the returns relative to other marketing channels
- Connect upper-funnel brand metrics (e.g., aided/unaided awareness, consideration, salience) to downstream business outcomes including revenue and customer lifetime value
- Apply causal inference methods suited to long-horizon, slow-moving brand effects — distinguishing these from the shorter feedback loops of performance marketing
- Partner with marketing leaders, finance, and strategy teams to translate findings into actionable investment recommendations
- Consult with business stakeholders to frame brand investment tradeoffs and communicate results with clarity and credibility
- Stay current on brand measurement literature and bring best practices from academia, consulting, and industry into AWS's approach
- Collaborate with data scientists and engineers to operationalize models and integrate brand measurement into existing marketing science products
About the team The AWS Marketing Science team is a group of scientists, economists, and engineers building science products that power marketing decisions across AWS. We provide strategic support in measuring outcomes, targeting customers, and forecasting growth and consult with marketing stakeholders on how to optimize their investment. Our team has deep expertise in measuring the impact of lower-funnel marketing activities — including multi-touch attribution, incrementality testing, and long-term ROI — and is building the capabilities to measure brand investment, an investment that operates thorough a distinct mechanisms and requiring a distinct scientific approach, and you will own it.
Basic Qualifications
- PhD in economics or equivalent
Preferred Qualifications
- Experience in analytics and applied economics
- Experience in developing and executing an analytic vision to solve business-relevant problems
- Experience in building statistical models using R, Python, STATA, or a related software
- Experience in industry, consulting, government or academic research
- Experience managing and measuring marketing performance in various channels
- Experience presenting to senior leadership
- Knowledge of modern machine learning methods and their integration with econometric approaches
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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, NY, New York - 175,100.00 - 236,900.00 USD annually USA, TX, Austin - 159,200.00 - 215,300.00 USD annually USA, VA, Arlington - 159,200.00 - 215,300.00 USD annually USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually