Senior Product Manager - Technical, Quick Sight - Structured Data Analytics
Amazon - Seattle, Washington, USA
Posted May 15, 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
- 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
Senior Product Manager - Technical, Quick Sight - Structured Data Analytics Seattle, Washington, USA Amazon Quick is a decision intelligence service for the AI era. Today, thousands of enterprises and millions of users rely on Quick to connect their data, generate insights, and turn decisions into action - whether through interactive dashboards, embedded analytics woven into the products their customers use, natural language experiences that let any knowledge worker ask a question and get an answer they can act on immediately or fully managed tools that they can build and deploy for their stakeholders. Hundreds of ISVs and SaaS companies have already built Quick into the fabric of their applications, powering experiences for millions of end users who benefit from intelligent, data-driven products. That is the kind of reach we operate at - and we are just getting started. We are now at an inflection point. The convergence of structured data analytics, natural language interfaces, and agentic AI is rewriting the rules of what a decision intelligence service can do - not just for analysts, but for every knowledge worker in an enterprise. Quick sits at the center of this shift. We're building the service that lets an enterprise analyst build a governed dashboard in minutes, an ISV embed AI-powered analytics into their product with a few API calls, and a business leader ask a question in plain English and receive an insight they can turn into action before the day is over. The same service. The same governed data.
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