Senior AI-First Product Manager - Enterprise Security

Amazon Web Services (AWS); Austin (TX); On-site; USD 151,000 - 205,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC in Texas seeks a Sr. Product Manager - Tech to own zero-to-one security products powered by AI, from vision to launch.

You will work with engineers, security researchers, and applied scientists to turn ambiguous customer problems into shipped features across multi-cloud environments. You will define what to build, why, and how fast, engage directly with enterprise customers for beta programs, and help shape a fast-growing, AI-native product culture with clear roadmaps and

Qualifications

• Own roadmap strategy and product definition.
• Contribute to engineering discussions on technology decisions.
• Represent and advocate for critical customers in exec prioritization.
• 5+ years of product management in enterprise cybersecurity SaaS.
• Experience managing customers in early beta.
• Familiarity with AI-first development practices and related architectures.

Responsibilities

• Own Product Strategy And Delivery End-to-end across security products with AI at core.
• Be The Voice Of The Customer and validate with enterprise users.
• Drive AI-first thinking and translate research into product experiences.
• Partner with engineers, researchers, UX designers to ship fast.
• Build The Product Culture with rituals, frameworks, and quality bar.

Skills

Roadmap strategy

Engineering collaboration

Customer advocacy

Security SaaS PM

Beta customer management

AI-first development

Job description

Amazon.com Services LLC in Texas seeks a Sr. Product Manager - Tech to own zero-to-one security products powered by AI, from vision to launch.

You will work with engineers, security researchers, and applied scientists to turn ambiguous customer problems into shipped features across multi-cloud environments. You will define what to build, why, and how fast, engage directly with enterprise customers for beta programs, and help shape a fast-growing, AI-native product culture with clear roadmaps and