Sr. Marketing Measurement Manager , Amazon Leo
Amazon is hiring a Sr. Marketing Measurement Manager , Amazon Leo. It pays $125k-$170k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this marketing role is Little AI ●○○○: aI is not part of the work.
- The posting mentions marketing measurement, attribution and data analysis among its tools and skills.
- Level classes it as a senior role.
- Amazon has 21,000+ other open roles on Level.
AI in this role
Sr. Marketing Measurement Manager owning global marketing measurement, attribution, and reporting for Amazon Leo.
We are seeking a Sr. Marketing Measurement Manager to own how Amazon Leo measures marketing. This role owns the measurement plan itself and holds it across global marketing, segment marketing, data science, data engineering, and our agency partners. You will own the measurement and reporting roadmap, the attribution and experimentation agenda, brand tracking, and the voice of customer program management, across consumer, business, and government segments.
This is a high-impact role requiring both strategic ownership and hands-on technical depth. Measurement capability at Amazon Leo is in development. You will decide what gets built and in what order, write the requirements that partner teams build to, and arbitrate between competing requests when capacity is the constraint.
Key job responsibilities
• Own the measurement and learning roadmap — what the business needs to know, in what priority, and by when — sequenced against launch and segment milestones, and run the mechanisms that keep marketing, data, and agency partners on one plan.
• Translate business questions into measurement requirements that partner teams build to, and arbitrate between competing requests when capacity is the constraint.
• Own the attribution and marketing mix modeling roadmaps. Partner with data science and data engineering on building the capability, and own how the results are interpreted, published, and adopted.
• Own the experimentation agenda — what the business needs to learn and the decision each test has to answer. Economics and data science own experimental design and statistical analysis.
• Own the brand tracking program and program manage the voice of customer program end to end, across consumer, business, and government segments, partnering with research on survey design.
• Own the reporting agenda — the metrics leadership sees in weekly and monthly business reviews, the executive scorecard, and the requirements behind every dashboard, working with intelligence engineering to build them.
• Drive alignment on metric definitions, taxonomy, and data governance across segments and regions, and own the data requirements measurement depends on — tagging, taxonomy conformance, clickstream coverage, and quality gates. Data engineering and marketing technology own the implementation.
• Own the measurement tooling roadmap and vendor evaluation, including the recommendation to keep, replace, or retire.
*** Export Control Requirement ***
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
About the team
The Amazon Leo Marketing team is responsible for building a world-class brand and driving global demand for a transformational connectivity service. The Marketing Technology & Operations team builds the systems, data flows, measurement, and insights that support a multi-segment global business. We operate with the agility of a startup inside Amazon, partnering closely with Engineering, Product, Science, and global marketing teams to ensure our decisions are grounded in high-quality data.
Basic qualifications
- 5+ years of professional non-internship marketing experience
- Experience with attribution methodology and marketing experimentation — enough depth to write requirements, judge a method's limits, and interpret results, without owning the modeling.
- Experience using data and metrics to measure impact and determine improvements.
- Experience defining requirements for, and delivering through, data engineering and data science partner teams.
- Experience building, executing, and scaling cross-functional marketing programs.
- Experience communicating measurement results and recommendations to senior leadership.
Preferred qualifications
- Experience measuring marketing across more than one segment — consumer, business, or public sector — with a distinct approach for each.
- Experience standing up marketing measurement for a pre-launch or newly launched business, rather than operating measurement that already exists.
- Experience commissioning and interpreting marketing mix modeling and geo or market-level incrementality tests, including communicating the tradeoff between clean measurement and forgone revenue.
- Experience running a brand tracking program with an external research vendor.
- Experience managing a voice of customer or survey program across multiple owning teams.
- Experience with marketing and data platforms — web analytics, customer data platforms, marketing automation, campaign platforms, and a cloud data warehouse.
- Experience in technology, media, or telecommunications; satellite internet; or subscription services.
- Advanced degree in a quantitative field.
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, Redmond - 125,400.00 - 169,600.00 USD annually
How we rate this
Sr. Marketing Measurement Manager , Amazon Leo at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in marketing jobs at this level
Pay
- This job starts at
- $125k
- Typical marketing job
- $148k
This posting starts 15% below the typical marketing job. See marketing jobs
Questions you could be asked
- Tell me about a project where marketing measurement was part of your work. What did you do?
- Tell me about a project where attribution was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where marketing mix modeling was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Marketing Measurement, Attribution, Data Analysis, and Marketing Mix Modeling. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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