Senior Product Manager - Tech, Prime Video Personalization & Discovery
Amazon - Culver City, California, USA
Posted Jun 3, 2026
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
- 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
- $151K-$205K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
Was this benefit information wrong? Tell us.
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
73% 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
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Product Manager - Tech, Prime Video Personalization & Discovery Culver City, California, USA The Prime Video Personalization & Discovery team is seeking a Senior Product Manager - Tech with Personalization to own the vision, strategy, and roadmap for the core recommendations that power our personalization and discovery experiences. You will operate at the intersection of machine learning, customer experience, and business strategy, leading fast-paced, high-impact projects that ship ML-powered features at scale. This role is ideal for a PM with deep experience in customer experiences powered by ML models who anchors every decision in customer value and measurable business outcomes. You will formulate the product strategy for core recommendations, translate ambiguous customer and business problems into clear modeling and technical requirements, and guide sound science decisions throughout the ML lifecycle Key job responsibilities * Own the strategy and roadmap for personalization products, including recommendation systems and ML models * Collaborate with applied scientists and ML engineers to translate business problems into model requirements and convert them into clear algorithmic objectives, metrics, and guardrails. * Define and analyze key metrics to measure recommendation quality, customer outcomes, and business impact; analyze user behavior data to identify opportunities to improve personalization. * Lead A/B testing strategy and experimentation to validate algorithmic improvements and inform roadmap decisions. * Partner with stakeholder teams to understand business needs and translate them into technical specifications and prioritized work. * Communicate complex technical and algorithmic concepts clearly to senior leadership and cross-functional partners. * Make and own
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