Quantitative Research Manager, Prime Video Planning & Insights Team

Benefits

Parental leave

6 weeks From the posting source

Non-birth-parent leave

6 weeks From the posting source

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

$109K-$160K From the posting source

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)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

20% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

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

Role

Role function

Data From the posting source

Seniority

Senior From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Quantitative Research Manager, Prime Video Planning & Insights Team New York, New York, USA We're hiring a Prime Video Quantitative Market Research Manager to bring deep expertise to a team at the center of PV's audience strategy and growth. The ideal candidate has a strong foundation in advanced statistics and quantitative methodologies and can design and execute high-impact analyses across large-scale datasets. You will work across Business, Programming, Marketing, and Product teams to translate complex business questions into rigorous research designs that deliver answers that move the business forward. Key job responsibilities Drive Quantitative Research: Lead complex quantitative research initiatives, diving deep on priority areas with rigor and methodological depth, while staying curious and engaged across the full research landscape to increase the team's total research output. Advanced Statistical Analysis: Apply sophisticated quantitative methods including segmentation analysis, discrete choice modeling, conjoint analysis, MaxDiff & TURF, structural equation modeling, and regression analysis to solve difficult business problems. Customer Segmentation Expertise: Develop and refine audience segmentation frameworks that identify priority growth cohorts, understand customer motivations, and enable targeted content and marketing strategies Large-Scale Data Analysis: Analyze large-scale behavioral datasets combined with survey and voice of customer data to deliver comprehensive insights AI-Powered Research & Scalable Infrastructure: Partner with technical teams to scope, pilot, and adopt AI tools and automated workflows that accelerate insights generation Stakeholder Partnership: Work closely with Programming, Marketing, and Product teams to scope research questions, align on methodologies, and translate findings into actionable business recommendations Ad Hoc: Support with

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