Job description

Amazon's Devices & Services (D&S) organization builds and markets consumer products used by hundreds of millions of customers worldwide—including Ring, Blink, Alexa, Kindle, Fire TV, and more. Within D&S, the Demand Science & Optimization (DSO) organization is responsible for the science, data, and products that drive pricing, marketing measurement, demand forecasting, and spend optimization across 50+ product lines in 10+ countries. Today, the vast majority of D&S's marketing and pricing allocation decisions rely on proxy assumptions rather than direct experimental evidence. We are building the Experimentation & Economic Value Platform to change that: a centralized system that connects experimentation across pricing, marketing, and merchandising into causal science and forecasting models, so every investment decision is backed by evidence rather than assumption. We are seeking a Principal Product Manager-Tech to own this product end-to-end. You will define the conceptual architecture for a suite of interconnected services—experimentation engines spanning pricing, marketing, and economic value measurement, along with a parameter store, experiment registry, and coordination layer—and partner closely with engineering to build them. A critical part of the role is connecting science outcomes to production systems: ensuring that experiment results, model parameters, and causal estimates flow reliably into the downstream decision products that consume them. You will own the product and experimentation roadmap, define success metrics on usage, engagement, and efficiency, build a streamlined intake process, and drive integration with downstream science and business-facing products. This is a high-visibility, high-autonomy role where you will shape how Amazon's largest consumer hardware business makes data-driven decisions. Key job responsibilities Define the Conceptual Architecture • Define and deliver the conceptual architecture for the platform's experimentation engines (pricing, marketing, and economic value measurement), parameter store, experiment registry, coordination layer, and results store • Define integration points with downstream science models (e.g., incrementality modeling, demand forecasting) and business-facing products (e.g., spend optimization, scenario planning, and emerging optimization products) • Partner closely with engineering leadership to translate the conceptual architecture into technical designs, and sequence the development roadmap Own the Product Vision, Roadmap & Prioritization • Define and drive the product vision, tenets, and multi-year roadmap for the Experimentation & Economic Value Platform • Own the experimentation intake process, roadmap, and prioritization across pricing, marketing, and economic value workstreams; prioritize science and engineering bandwidth in partnership with DSO Product and Engineering managers • Define, prioritize, and track product success metrics: platform adoption, usage, engagement, experiment velocity, model calibration improvement, and iROAS gains Build a Scalable, AI-Augmented Experimentation Product • Define how AI agents and automated workflows accelerate experimentation design, execution, monitoring, and insights across the full experimentation lifecycle • Own and deliver experimentation platforms for joint marketing and pricing experiments • Implement monitoring systems in partnership with data science and software development—covering data quality, statistical significance, and optimization recommendations—across marketing experimentation and economic value refresh processes Drive Rigorous Experiment Design & Execution • Translate user stories and business questions into statistically rigorous randomized controlled trials (RCTs) at the geo and user level • Own experiment prioritization, design quality, and execution standards globally—ensuring consistency across macro experiments (geo-level strategic allocation questions) and micro experiments (platform-native A/B tests optimizing creative, audience, and bid strategies) • Partner with economists and data scientists to define RCT validity criteria, create reusable design templates, develop power calculation guidelines, and establish quality bars to ensure direct usability by the business Lead Stakeholder Engagement & Operational Excellence • Establish regular business reviews with senior leadership (VP+) to communicate platform progress, experiment impact, and investment priorities • Build a streamlined, trackable intake process that replaces ad-hoc coordination with structured experiment requests, transparent prioritization, and automated scheduling - 10+ 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 technical product management - Experience working directly with engineering teams - Experience in project management methodologies, business analysis, or process improvement - Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent 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 amazon.jobs 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 amazon.jobs . USA, NY, New York - 197,900.00 - 267,800.00 USD annually USA, VA, Arlington - 179,900.00 - 243,400.00 USD annually USA, WA, Seattle - 179,900.00 - 243,400.00 USD annually

Requirements

Must-haves

Key job responsibilities
Define the Conceptual Architecture
Define and deliver the conceptual architecture for the platform's experimentation engines (pricing, marketing, and economic value measurement), parameter store, experiment registry, coordination layer, and results store
Define integration points with downstream science models (e.g., incrementality modeling, demand forecasting) and business-facing products (e.g., spend optimization, scenario planning, and emerging optimization products)
Partner closely with engineering leadership to translate the conceptual architecture into technical designs, and sequence the development roadmap
Own the Product Vision, Roadmap & Prioritization
Define and drive the product vision, tenets, and multi-year roadmap for the Experimentation & Economic Value Platform
Define, prioritize, and track product success metrics: platform adoption, usage, engagement, experiment velocity, model calibration improvement, and iROAS gains
Build a Scalable, AI-Augmented Experimentation Product
Define how AI agents and automated workflows accelerate experimentation design, execution, monitoring, and insights across the full experimentation lifecycle
Own and deliver experimentation platforms for joint marketing and pricing experiments
Drive Rigorous Experiment Design & Execution
Translate user stories and business questions into statistically rigorous randomized controlled trials (RCTs) at the geo and user level
Partner with economists and data scientists to define RCT validity criteria, create reusable design templates, develop power calculation guidelines, and establish quality bars to ensure direct usability by the business
Lead Stakeholder Engagement & Operational Excellence
Establish regular business reviews with senior leadership (VP+) to communicate platform progress, experiment impact, and investment priorities
Build a streamlined, trackable intake process that replaces ad-hoc coordination with structured experiment requests, transparent prioritization, and automated scheduling
10+ 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 technical product management

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave