About this opportunity
Amazon lists this Sr Product Manager, Technical, Core Shopping Data Science opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Description
Amazon cannot fix a customer experience problem it cannot measure. Our team's job is to make shopping quality measurable: to find the defects customers actually encounter, quantify how often they encounter them, and put a number in front of leadership that teams are willing to be held to. Today that capability is strongest on the search results page, where we run a portfolio of quality metrics covering areas such as relevance, duplication, and brand quality, backed by a mix of human annotation and LLM based measurement.
Amazon cannot fix a customer experience problem it cannot measure. Our team's job is to make shopping quality measurable: to find the defects customers actually encounter, quantify how often they encounter them, and put a number in front of leadership that teams are willing to be held to. Today that capability is strongest on the search results page, where we run a portfolio of quality metrics covering areas such as relevance, duplication, and brand quality, backed by a mix of human annotation and LLM based measurement.
Key job responsibilities
Define The Quality Bar
Own the standard that every metric definition, annotation SOP, and automated measurement approach must satisfy before it can be trusted or published. Scientists, engineers, and annotation partners build to that bar.
Own the portfolio of shopping quality metrics against that bar, covering areas such as relevance, duplication, and brand quality, and grow that portfolio as new defect classes are identified.
Own the inspection mechanisms
Own how we find quality defects, not just how we count the ones we already know about: sampling strategy, audit cadence, anecdote review, and systematic inspection of pages customers actually saw.
Turn qualitative signal into quantified metrics. Work with UX Research and leadership to convert customer anecdotes and research findings into defect definitions that can be sampled, scored, and tracked.
Own the audit loop and the SOP bar. Specify what gets audited and against which criteria, review findings, and require the resulting corrections in annotation SOPs or LLM prompts. When a measurement approach systematically misses a defect class, you own defining what the corrected standard is, and the team builds to it.
Drive quality measurement into online systems
Drive the agenda to move quality measurement from offline, after the fact reporting into online systems, so that quality signals are available where experiences are ranked and served rather than only in a periodic report.
Partner with central platform teams to embed quality metrics into online evaluation and serving paths.
Make the case for where online quality signals change decisions, including experimentation guardrails, faster detection of quality regressions, and closed loop correction of defective experiences.
Own the roadmap
Own the multi year roadmap for shopping quality measurement and inspection: which defects to measure next, which surfaces to expand to, and what each expansion unblocks for the business.
Extend the charter beyond search to other core shopping pages, starting with Homepage and Detail Page. For surfaces with no measurement today, define the defect taxonomy from scratch: what a quality defect is on that page, how it is sampled, how it is scored, and how it rolls up.
Drive alignment across Organic Search, Sponsored Products, Sponsored Brands, and International as definitions evolve, including with the teams whose experiences the metrics judge.
About The Team
The mission of the Core Shopping Data Science team is to provide the data-driven foundation for building a world-class shopping experience that maximizes long-term free cash flow by delighting customers. We focus on the long term and big picture to ensure that the full Amazon shopping experience balances strategic trade-offs. We believe data science is the discipline of making smart decisions and we empower feature owners and systems by 1) developing and vending metrics which assess and value customer engagement, 2) building tools and datasets to inject data into the decision-making process, and 3) delivering deep analyses to inform high-touch decisions.
Basic Qualifications
5+ years of product or program management, product marketing, business development or technology experience
Bachelor's degree
Experience with feature delivery and tradeoffs of a product
Experience owning/driving roadmap strategy and definition
Experience with end to end product delivery
Experience contributing to engineering discussions around technology decisions and strategy related to a product
Experience managing technical products or online services
Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
Preferred Qualifications
Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
Experience in building and driving adoption of new tools
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 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
USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually
Company - Amazon.com Services LLC
Job ID: A
#J-18808-Ljbffr
Worksite address
seattle, WA, 98127, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.