Senior AI-First Enterprise Security Product Manager

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking a Sr. Technical Product Manager for AWS Enterprise Security Products. You will own end-to-end strategy and delivery of zero-to-one security products that leverage AI, collaborating with engineers, researchers, and UX designers to turn customer problems into shipped solutions.

You will be the voice of the customer, drive beta programs, and shape product direction while partnering across disciplines to build a fast-growing, AI-native product culture.

Qualifications

• Experience owning/driving roadmap strategy and definition.
• Experience contributing to engineering discussions around technology decisions and strategy related to a product.
• Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning.
• 5+ years of product management experience in building enterprise cybersecurity SaaS products.
• Experience managing customers in early beta.
• Familiarity with AI-first development practices, agentic architectures, or conversational AI product experiences.

Responsibilities

• Own product strategy and delivery end-to-end.
• Be the voice of the customer.
• Drive AI-first thinking.
• Partner across disciplines.
• Build the product culture.

Skills

Roadmap strategy

Executive stakeholder mgmt

Enterprise cybersecurity

Beta program mgmt

AI-first development

Job description

Amazon.com Services LLC is seeking a Sr. Technical Product Manager for AWS Enterprise Security Products. You will own end-to-end strategy and delivery of zero-to-one security products that leverage AI, collaborating with engineers, researchers, and UX designers to turn customer problems into shipped solutions.

You will be the voice of the customer, drive beta programs, and shape product direction while partnering across disciplines to build a fast-growing, AI-native product culture.