Revenue Optimization Manager Jobs in Seattle, WA
Revenue Optimization Manager jobs in Seattle are concentrated in South Lake Union, Bellevue's tech corridor, and the Denny Triangle, driven by demand in e-commerce, cloud technology, SaaS, and hospitality. Employers hiring right now include Amazon, Amazon Web Services, and Zoox. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 25+ Revenue Optimization Manager jobs
DESCRIPTION
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
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, WA, Seattle - 250,000.00 - 338,200.00 USD annually
DESCRIPTION
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
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, WA, Seattle - 250,000.00 - 338,200.00 USD annually
See All 25 Revenue Optimization Manager Jobs in Seattle
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Find JobsRevenue Optimization Manager Job Market in Seattle
Who's Hiring
Top Industries Hiring
- Technology & Software
- Retail
- E-Commerce & Online Marketplaces
- Distribution & Wholesale
- Automotive
Revenue Optimization Manager Jobs in Seattle: Frequently Asked Questions
How do I get a revenue optimization manager job in Seattle?
Focus on Seattle's dominant hiring sectors: e-commerce, SaaS, cloud infrastructure, and hospitality tech, where pricing strategy and demand forecasting skills are most valued. Companies in South Lake Union and the Bellevue tech corridor hire the most consistently. A background in dynamic pricing, SQL-driven analytics, or hotel revenue management gives candidates a clear edge over generalist applicants in this market.
Which companies hire revenue optimization managers in Seattle?
Companies currently hiring revenue optimization managers in Seattle include Amazon, Amazon Web Services, and Zoox, per current listings on Migrate Mate as of July 2026. Seattle's employer mix skews heavily toward large technology platforms and hospitality brands, both of which run active, year-round revenue optimization functions.
Are there remote revenue optimization manager jobs in Seattle?
Yes, though availability varies since revenue optimization manager roles often require close collaboration with sales, finance, and product teams. About 50% of revenue optimization manager openings tied to Seattle are remote or hybrid as of July 2026, with the most remote-friendly positions concentrated in SaaS pricing and e-commerce yield management rather than hotel or hospitality operations.
How can I get a revenue optimization manager job in Seattle with little or no experience?
The most realistic entry path in Seattle is through analyst roles in pricing, demand planning, or revenue analytics at one of the city's large technology or hospitality employers. Entry-level pricing analyst and revenue analyst positions at hotel groups, airline platforms, and SaaS companies frequently lead to manager tracks within two to three years. Proficiency in Excel, Tableau, or SQL and familiarity with yield management concepts are the skills Seattle hiring managers cite most.
Which industries hire the most revenue optimization managers in Seattle?
The sectors hiring the most revenue optimization managers in Seattle are Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of July 2026. Seattle's outsized concentration of e-commerce platforms, cloud software companies, and major hotel operators makes it one of the more active markets nationally for this specialty.
Related Jobs in Washington
See All 25 Revenue Optimization Manager Jobs in Seattle
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