Principal Product Manager - Tech, Devices Decision Science

Benefits

Parental leave

6 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

6 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Offered From the posting source checked Jun 20, 2026
• Adoption assistance: Offered From the posting source checked Jun 20, 2026
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Offered From the posting source checked Jun 20, 2026

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

$207K-$280K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$102,662 U.S. median for this role

Projected growth (BLS Employment Projections)

+5.4% - Faster than average

137% above the BLS role benchmark for product management aggregate.

Matched to SOC 11-1021 - Product Management aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Product From the posting source checked Jun 20, 2026

Seniority

Principal From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Principal Product Manager - Tech, Devices Decision Science Sunnyvale, California, USA We are seeking an experienced a Principal Technical Product Manager to own the product strategy and roadmap for quantitative analysis products within Decision Science. This leader will serve as the critical bridge between science teams and business stakeholders, translating complex model outputs into actionable business strategies for key device portfolios. The ideal candidate is equally comfortable interrogating the internals of a machine learning model as they are presenting portfolio strategy recommendations to senior Device leadership. This role requires a rare combination of scientific fluency, product management excellence, and business acumen. You will shape how Amazon Devices leverages quantitative science to make better, faster, and more impactful decisions - from pre-launch forecasting to portfolio optimization. Key job responsibilities In this role, you will: - Define and own the long-term product vision, strategy, and roadmap for quantitative analysis products that support demand forecasting, portfolio construction, and device economics; - Shape strategy for device portfolios by translating science-driven insights into actionable recommendations for product leadership; - Identify high-impact opportunities where quantitative methods can displace or augment judgment-based decision-making - Partner deeply with science teams to understand, evaluate, and challenge model methodologies, assumptions, and outputs - including econometric models, machine learning forecasts, conjoint analyses, and causal inference techniques - Dive deep into science model outputs to validate accuracy, identify edge cases, and ensure business applicability; and, - Translate complex quantitative concepts into clear, compelling narratives for non-technical stakeholders. - Conduct leadership reviews to

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