Senior Product Manager, AI-Driven Power Solutions

Amazon Data Services, Inc.; Seattle (WA); On-site; USD 151,000 - 205,000; Full time

Job summary

Amazon Data Services, Inc. is seeking a Senior Product Manager, Technical to define vision, drive strategy, and deliver outcomes at scale.

You will own the end-to-end lifecycle—from identifying customer problems to launching experiences that delight millions—by partnering with engineering and design to create scalable products. You will navigate complex technical landscapes, make trade-offs with incomplete data, and champion the customer perspective across decisions.

Qualifications

• Bachelor's degree required.
• Experience owning roadmap strategy and defining features.
• Experience delivering features and making tradeoffs.
• Experience contributing to engineering decisions and strategy related to a product.
• Experience managing technical products or online services.
• Experience advocating for critical customers and stakeholders in executive prioritization.

Responsibilities

• Define and own the product vision, strategy, and roadmap aligned with customer needs.
• Collaborate with engineering to evaluate proposals and ensure scalable solutions.
• Identify opportunities to integrate AI capabilities into workflows.
• Define success metrics and use data to inform prioritization decisions.
• Lead end-to-end launches and iterate post-launch based on feedback and market trends.

Skills

Roadmap strategy

Product delivery

Engineering discussions

Stakeholder advocacy

Technical product management

Education

Bachelor's degree

Master's degree

Tools

Tableau

QlikView

QuickSight

Job description

Amazon Data Services, Inc. is seeking a Senior Product Manager, Technical to define vision, drive strategy, and deliver outcomes at scale.

You will own the end-to-end lifecycle—from identifying customer problems to launching experiences that delight millions—by partnering with engineering and design to create scalable products. You will navigate complex technical landscapes, make trade-offs with incomplete data, and champion the customer perspective across decisions.