Senior Product Manager, Private Pricing Platform

Amazon Inc.; Arlington (VA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

RSUs / stock options

Job summary

Amazon Web Services, Inc. is seeking a Senior Product Manager to own the Private Pricing strategy, roadmaps, and execution for large-scale deals. You will shape vision, influence engineering and VP-level leaders, and drive end-to-end product delivery with high autonomy in a high-ambiguity environment.

You will lead cross-functional teams, leverage data and Gen AI to improve workflows, and report outcomes to executives while building scalable prioritization frameworks.

Qualifications

• 5+ years in technical product or program management.
• Experience leading analytics, data science or tech teams with product focus.
• End-to-end ownership of major project deliverables in a fast-paced setting.
• Ability to communicate complex solutions to senior stakeholders.

Responsibilities

• Define and own product strategy within Private Pricing platform.
• Drive 0-to-1 development, validate hypotheses with data.
• Influence across GDSP and cross-functional teams to secure resources.
• Leverage data and Gen AI to redesign workflows and unlock capabilities.
• Own lifecycle from discovery to launch, adoption and iteration.
• Communicate strategy and results to executives with data-driven narratives.
• Establish scalable prioritization and documentation frameworks.

Skills

Technical product management

Program management

Data-driven decision making

Stakeholder influence

Ambiguity navigation

Education

Bachelor's degree

MBA

Tools

AWS

Cloud technologies

Job description

Amazon Web Services, Inc. is seeking a Senior Product Manager to own the Private Pricing strategy, roadmaps, and execution for large-scale deals. You will shape vision, influence engineering and VP-level leaders, and drive end-to-end product delivery with high autonomy in a high-ambiguity environment.

You will lead cross-functional teams, leverage data and Gen AI to improve workflows, and report outcomes to executives while building scalable prioritization frameworks.