Head of Measurement, Forecasting, and MarTech, eero
Amazon is hiring a Head of Measurement, Forecasting, and MarTech, eero in Seattle, United States. It pays $204k-$275k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions SQL, Python and marketing mix modeling among its tools and skills.
- Level classes it as a lead role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Own marketing measurement, data infrastructure, and develop AI-automated demand forecasting methodologies across retail channels.
eero is seeking a Head of Measurement, Forecasting, and MarTech to own the strategy, infrastructure, and execution of marketing measurement science, demand forecasting, and martech across eero's retail sales and marketing organization. This role is the center of data within our retail and marketing organization — translating marketing performance data into actionable frameworks for customer acquisition and retention across all channels. You will partner with Business Intelligence on foundational data needs while using that data to solve complex business challenges and drive cross organizational insights. This is a high-autonomy, high-ambiguity role that requires someone who can operate at the intersection of technical systems, marketing strategy, and financial rigor.
Key job responsibilities
- Oversee our marketing measurement science strategy and execution — including Marketing Mix Modeling (MMM), Randomized Controlled Trials (RCTs), incrementality testing, and channel-level contribution measurement
- Develop new, AI automated demand forecasting methodologies across geographies and retail channels, partnering with channel leads to lead monthly, quarterly, and annual forecasting cycles
- Liaison with BI and legal on a Retail infrastructure roadmap while defining the path toward personalization and martech data enablement
- Partner with marketing channel leads to ensure consistent methodology and actionable reporting
- Co-own the unified data layer with Business Operations, defining requirements and ensuring marketing's needs are represented in schema design
- Build resource models for international marketplace allocation — providing the analytical framework for investment decisions across geographies
Basic qualifications
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- 7+ years of technical product or program management experience
- 4+ years of engineering experience
- Knowledge of data structures, data modeling, and database schema
- Experience working with and managing third party vendors
- Deep expertise in marketing measurement methodology (MMM, attribution, incrementality, experimental design)
- 8+ years of experience in marketing measurement, analytics, demand forecasting, and/or data strategy — with at least 2 years managing direct reports
Preferred qualifications
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience influencing at all levels within an organization, particularly at the executive level
- Experience in business analytics and reporting or demand forecasting
- Knowledge of databases (querying and analyzing) such as SQL, MYSQL, and ETL Manager and working with large data sets
- Experience with Amazon's internal tools and operating mechanisms
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, San Francisco - 203,500.00 - 275,300.00 USD annually
USA, WA, Seattle - 177,000.00 - 239,400.00 USD annually
How we rate this
Head of Measurement, Forecasting, and MarTech, eero at Amazon rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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
Questions you could be asked
- Tell me about a project where marketing mix modeling was part of your work. What did you do?
- Tell me about a project where demand forecasting was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where martech was part of your work. What did you do?
- Tell me about a project where incrementality testing was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Marketing Mix Modeling, Demand Forecasting, Data Modeling, Martech, and Incrementality Testing. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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