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Sr. Product Manager-Tech, Amazon Devices Demand Planning, Marketing Measurement

Amazon · Seattle, WA, USA ·

Job type:
Full Time

Sr. Product Manager-Tech, Amazon Devices Demand Planning, Marketing Measurement
Job ID: 10461161 | Amazon.com Services LLC

You will build and lead Amazon's first centralized marketing experimentation program for Devices and Services, establishing a global program that measures marketing incrementality through randomized controlled trials (RCTs), validates econometric models, and optimizes marketing spend across 50+ products in 10+ countries (Ring, Blink, Alexa, Kindle, Leo, etc.).

Key job responsibilities
As Senior Product Manager - Technical, you own the experimentation program's vision, strategy, and execution end-to-end. You will lead a cross‑functional team of engineers, data scientists, and economists, while serving as a key strategic partner to leadership. This role is highly visible.

Build the Experimentation Program from the Ground Up

Define the vision, tenets, strategy, and multi-year roadmap for centralized marketing experimentation

Balance short-term execution with long-term vision (establishing experimentation as a core D&S competency)

Drive Rigorous Automated Experiment Design and Execution

Partner with PL marketers across paid search, display, social, video, TV, and owned media to design statistically rigorous RCTs

Own experiment prioritization, design quality, and execution standards globally

Partner with economists to define what constitutes valid RCTs, create templates, develop power calculation guidelines, and establish quality bars

Build relationships with PL marketing leaders to demonstrate experimentation value

Build Automated Workflows and Tooling

Develop self‑service tools enabling marketing teams to set up experiments, configure randomization logic, and launch tests across platforms

Create pre‑flight validation preventing common design mistakes

Implement monitoring systems tracking experiment progress, detecting data quality issues, and alerting when tests reach statistical significance

Build insights reporting that summarizes results, validates model predictions, and provides optimization recommendations

Collaborate Across Workstreams

Partner with our Incrementality Modeling and Spend Optimization team to influence how experiment results calibrate incrementality models

Work with our Data Infrastructure team to ensure experiment data flows into pipelines and reporting

Translate complex statistical concepts into actionable product requirements

Drive Operational Excellence

Implement metrics tracking experiment velocity, quality, and impact

Establish regular business reviews with senior leadership to communicate progress and escalation of blockers

Manage resource planning and prioritization, making trade-offs between building new capabilities and maintaining existing systems

Navigate technical complexity, organizational dependencies across four workstreams, and competing stakeholder priorities

Your product requirements are concise with clear, measurable success criteria. You negotiate effectively, make smart trade-offs without sacrificing quality, and drive appropriate schedules. You use data to influence business strategy and technical priorities, escalating when necessary without damaging relationships. You are comfortable communicating with senior executives and technical stakeholders across D&S.

Basic Qualifications

7+ 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 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.

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