Senior AI-Driven Security Product Manager

Socket.dev; Austin (TX); On-site; USD 151,000 - 205,000; Full time

Job summary

Amazon's Enterprise Security Products team within AWS is hiring a Sr. Product Manager - Tech to obsess over customers and drive zero-to-one products from vision to launch. You will work directly with engineers, security researchers, and applied scientists to turn ambiguous customer problems into shipped products.

You will define what we build, why we build it, and how fast it gets to customers, shaping a fast-growing, AI-native product culture across multi-cloud environments and on-premises.

Qualifications

• 5+ years of product management in building enterprise cybersecurity SaaS products.
• Experience owning roadmap strategy and definition.
• Experience advocating for customers during executive-level prioritization and planning.
• Experience managing customers in early beta.
• Familiarity with AI-first development practices and agentic architectures.

Responsibilities

• Own product strategy and delivery end-to-end for zero-to-one security products with AI at the core.
• Define vision and roadmaps for workloads across AWS, Azure, GCP, and on-premises.
• Engage directly with enterprise security customers to validate needs and drive beta programs.
• Collaborate with engineers, applied scientists, UX designers, and researchers to ship fast.
• Build a scalable product culture with rituals, frameworks, and quality standards.

Skills

Roadmap strategy

Engineering decisions

Executive stakeholders

Cybersecurity SaaS

Beta program mgmt

AI-first development

Agentic architectures

Conversational AI

Job description

Amazon's Enterprise Security Products team within AWS is hiring a Sr. Product Manager - Tech to obsess over customers and drive zero-to-one products from vision to launch. You will work directly with engineers, security researchers, and applied scientists to turn ambiguous customer problems into shipped products.

You will define what we build, why we build it, and how fast it gets to customers, shaping a fast-growing, AI-native product culture across multi-cloud environments and on-premises.