AI-First Hardware Product Manager

Amazon; Hawthorne (CA); On-site; USD 129,000 - 175,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking an AI-native Product Builder in Hawthorne, CA to define and develop new hardware devices and integrated experiences that make neighborhoods safer. You will combine technical product management with hands-on prototyping across hardware and software teams.

You will validate concepts through data analysis and rapid prototypes, drive them from idea to launch, and leverage AI-powered tools to accelerate exploration and stakeholder alignment in a fast-paced environment.

Qualifications

• 4+ years of customer-facing product development and product management.
• Experience leading cross-functional teams to deliver products under tight deadlines.

Responsibilities

• Explore and validate new product concepts through rapid prototyping with AI‑coding tools (e.g., Cursor) and automated analysis of internal data, marketplace, and competitive research.
• Define hardware product requirements and in‑app device experiences for new devices, collaborating with hardware engineering, industrial design, software engineering, and manufacturing teams.
• Drive engineering delivery of new features across app, cloud, and device firmware, leveraging GenAI tools to accelerate development timelines.
• Manage prioritization and trade‑offs across customer experience, cost, performance, profitability, and operational support load, resolving blockers.
• Identify opportunities to streamline repetitive cross‑functional workflows using AI and agentic tools.

Skills

4+ yrs product mgmt

Cursor AI tools

Tools

Cursor

Job description

Amazon is seeking an AI-native Product Builder in Hawthorne, CA to define and develop new hardware devices and integrated experiences that make neighborhoods safer. You will combine technical product management with hands-on prototyping across hardware and software teams.

You will validate concepts through data analysis and rapid prototypes, drive them from idea to launch, and leverage AI-powered tools to accelerate exploration and stakeholder alignment in a fast-paced environment.