Six Figure Work

Economist II, Featured Merchant Algorithm

Amazon

Company websiteamazon.com (Amazon, opens in new tab)

Base salary $136K  to $184K

Employer-published annual base salary, USD. Advertised base range in Seattle, WA

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  • LocationSeattle, WA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (3 h ago) · observed since

About this job

Do you ever struggle to explain your work? How's this: "Do you shop at Amazon? Do you know that box that says 'Add to Cart' and shows a price? Our team owns the model which picks that offer and the customer experience around the display of the offer price and the elements surrounding the 'Add to Cart' button which inform a purchase decision. We pick and display offers several billion times a day across all surfaces (mobile app, mobile web, desktop, Alexa shopping) worldwide." The mission of the Amazon Buying Experience organization is to be the world’s first and most trusted choice for every customer on earth to discover and evaluate any product or service. Our team blends machine learning models to rank and select the best offer from the most trusted merchant for all products sold on Amazon along with a world-class front-end user experience for offer comparison to our global customers. We are responsible for the experiences and services that enable developers, including our own, to create tailored shopping experiences for every customer, product, business and marketplace offered by Amazon. We build scalable and extensible frameworks which allow for many teams at Amazon to innovate within the Offers Experience in a federated manner. If you are passionate about influencing and delivering the next-generation Amazon customer

buying experience, we want to meet you.

We are looking for an Economist to join one of the most impactful and visible teams in Amazon.

In this role you will work with business stakeholders throughout Amazon and provide technical direction and

business expertise to strategize and help launch new businesses and features for our customers. You will use data to

justify customer friendly decisions and present customer and financial impact of the changes we make to our

stakeholders. You will work closely with other economists, engineers, product managers, applied scientists, TPMs, managers, and senior leadership team to understand and drive business impact. Successful candidates will have experience working on multiple projects with different stakeholders, make data driven decisions, have strong communication skills to interact with executives, non-technical and technical individuals and have a high technical bar along with a passion for people and project management. This is an opportunity to work with a team that drives one of the most coveted real estate in the E-commerce, the Amazon ‘Buy Box’ on Amazon Product Detail Page, Amazon Search Page , multiple buying widgets etc. on the Amazon desktop, mobile and tablet environments.

Key job responsibilities

Today, millions of third party sellers offer products alongside Amazon Retail though the Amazon Marketplace and

compete to be featured on the ‘Add to Cart’ button (aka the ‘Buy Box’) on Amazon’s most valuable retail real estate –

the Product Detail Page referenced above. The Featured Merchant Algorithm (FMA) teams owns the Tier – I systems

and Machine Learning algorithms that selects the offer to be featured on the Buy Box and on Amazon Search Pages.

The team’s mission is to ensure that the featured offer provides the best possible customer value based on factors

including price, availability, delivery options and customer service. The Amazon ‘Buy Box’ is arguably the most valued

real estate in the E-commerce world and we are looking for strong leaders to continue innovating for this customer

facing functionality. We are looking for an Economist to join one of the most impactful and

visible teams in Amazon. In this role you will work with business stakeholders throughout Amazon and provide

technical direction and business expertise to strategize and help launch new businesses and features for our

customers. You will use data to justify customer friendly decisions and present customer and financial impact of the

changes we make to our stakeholders. You will work closely with other economists, engineers, product managers, applied scientists,

TPMs, managers, and senior leadership team to understand and drive business impact.

Basic Qualifications

  • PhD in economics or equivalent

Preferred Qualifications

  • 2+ years of industry, consulting, government, or academic research experience
  • Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS
  • Experience in prediction and forecasting in a research or industrial environment
  • Experience with handling of large datasets

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 - 136,000.00 - 184,000.00 USD annually

Source: Amazon · View original posting (opens in new tab)

Pay in context

This role's base floor ($136,000) is above 19% of the 357 Data & ML roles in Washington listed on this site; 22 others list the same floor. Their median floor is $143,700; the middle half runs from $136,000 to $168,100.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.

This range next to 6 other live Amazon roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Amazon roles with the nearest advertised base floor
RolePublished base
Economist II, Featured Merchant Algorithm (this listing)$136K - $184K
Sr. Operations Manager$135,000 - $182,700
Sr. Operations Manager$135,000 - $182,700
Sr. Operations Manager$135,000 - $182,700
Sr. Operations Manager, HOU6$135,000 - $182,700
Sr. Operations Manager, NACF AR Operations$135,000 - $182,700
Sr. Operations Manager$135,000 - $182,700

Same $100K to $400K scale as every card. All Amazon roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-06
Where this pay comes from

Location as the employer wrote it: US, WA, Seattle

USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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