Product Manager, Decision Science - Devices

Amazon

Sunnyvale (CA)

On-site

USD 128,000 - 180,000

Full time

6 days ago
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Benefits offered by this job

Health insurance
RSUs
401(k) Matching
Paid time off

Job summary

Amazon in Sunnyvale, CA is seeking a Product Manager to own the AI-driven automation across the Decision Science workflow, from forecasting to scenario generation and quality monitoring.

You will partner with scientists, engineers, and business teams to identify bottlenecks, augment models, and automate toil while preserving decision quality, with a growth path into senior technical product leadership.

Qualifications

  • 3+ years of product management experience.
  • Experience managing technical products or online services.
  • Experience leading cross-functional teams on major new products or services.

Responsibilities

  • Own the product roadmap for AI-powered automation in the Decision Science workflow.
  • Develop AI-assisted solutions to reduce cycle time while preserving forecast integrity.
  • Create automated study designs and dashboards that translate roadmap results into actionable inputs.
  • Collaborate daily with Scientists, Engineers, and Business Teams to align investments with pain points and planning cycles.
  • Translate complex technical capabilities into clear business value narratives for leadership.

Skills

Product management
Technical products
Cross-functional leadership

Tools

SQL
VBA

Job description

Description

The Decision Science team sits at the intersection of science modeling, business judgment, and cross-functional alignment, translating roadmap plans, competitive signals, and category trends into defensible demand forecasts that power Amazon's device portfolio decisions. We are looking for a Product Manager who is passionate about applying AI and automation to transform how forecasting decisions are made at scale. This is not a traditional PM role: it is a product management position designed for someone who thinks in systems, builds mechanisms, and sees AI as the lever that turns manual judgment into scalable, repeatable intelligence.

You will own the product vision and execution for AI-powered automation across the Decision Science workflow, from pre-launch forecasting and predecessor curation to scenario generation and forecast quality monitoring. You will work shoulder-to-shoulder with scientists, engineers, and Decision Scientists to identify where human judgment is bottlenecked, where models can be augmented, and where automation can eliminate toil while preserving decision quality.

This role offers a defined technical growth path: you will deepen your expertise in machine learning systems, econometric modeling, and AI-driven decision frameworks, with the expectation of evolving into a senior technical product leader who shapes the science-product interface across DSO.

Key job responsibilities
AI-Driven Automation

Own the product roadmap for automating key steps in the Decision Science workflow.

Identify repetitive, judgment-light tasks across database validation, cross-functional review, impact assessment, and documentation, and design AI-assisted solutions that reduce cycle time while maintaining forecast integrity.

Intelligent Scenario Generation & Portfolio Optimization

Develop automated anomaly detection that flags when science outputs (e.g., substitution patterns, CCARD mix-down) diverge from business reality, reducing reliance on manual review.

Streamline Survey Design

Build mechanisms that auto-generate survey designs from the latest product roadmap (including in-concept programs), translate results into calibrated willingness-to-pay inputs, and feed them systematically into LTD models. Create dashboards and alerting systems that track survey cadence compliance and flag gaps in feature coverage before they become planning blind spots.

Cross-Functional Partnership & Stakeholder Alignment

Collaborate daily with Scientists, Engineering, and Business Teams to ensure AI/automation investments are grounded in real workflow pain points.

Coordinate with Product GMs and PL Finance teams to align automated forecast outputs with planning cycle requirements (OPX, 3/5 Year Planning).

Translate complex technical capabilities into clear business value narratives for leadership reviews.

Basic Qualifications
  • 3+ years of product management experience
  • Experience managing technical products or online services
  • Experience in product, program, or project management in leading cross-functional teams in delivery of major new products or services
Preferred Qualifications
  • Knowledge of SQL and VBA at an advanced level
  • Experience building and analyzing cost/benefit scenarios and business cases and communicating results throughout the organization

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.

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, Sunnyvale - 127,900.00 - 179,600.00 USD annually

USA, WA, Seattle - 116,300.00 - 160,000.00 USD annually

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