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Amazon

Product Manager, Decision Science - Devices

Sunnyvale, CASalary not listedPosted 3 days ago

Immigration summary

Visa sponsorship

Highly likelyHigh confidence

This employer sponsors this kind of work repeatedly, and is still filing this year.

14,264 recent H-1B filings · 243 similar-role filings

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Green card sponsorship

Strong historyHigh confidence

This employer has recently sponsored green cards at scale.

1,562 recent certified PERM filings · 99 similar-role filings

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Job 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
1. 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.
2. 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.
3. 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.
4. 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

Sponsorship evidence

Why Openbound reached the conclusions above.

Visa sponsorship evidence

Current posting

Silent on sponsorship

Other openings

1227 of 21995 recent openings at this employer state a sponsorship restriction.

Employer H-1B history

14,264
recent certified H-1B filings
6,290
new-hire petitions
243
filings for similar roles
13,712
so far in FY2026

Filed titles like this role: product manager

More evidence details
  • 243 certified H-1B filings for this same role, 6,290 new-hire petitions across the employer, and 7,229 new hires already this year
  • 243 certified H-1B filings for this same role
  • 14,264 recent certified H-1B filings across the employer
  • Still filing this year — 13,712 filings in FY2026
  • 10,229 USCIS H-1B new-employment approvals, counted separately from LCA filings
  • Strong filing activity in CA
  • 25,856 further USCIS approvals for extensions or transfers
  • 1,227 other recent postings at this company state a sponsorship restriction
  • The posting says nothing about sponsorship either way

Strong filing activity in CA.

Green card sponsorship evidence

Employer PERM history

1,562
recent certified PERM filings
99
filings for similar roles
539
filings in this location
Certified PERM filings by fiscal year
20234,616
20242,129
20251
202656YTD

Filing history reflects past employer behavior; it isn't a promise for this opening.

All open roles at Amazon
How Openbound evaluates sponsorship

Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.

An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence. 705 filing titles were examined for this employer.

What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.