Sr Technical Product Manager, AWS Enterprise Security Products
Austin, Texas, USAPosted 1dLeaves the board in 7 days
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The Amazon Enterprise Security Products team within AWS operates like a startup to solve the hardest problems in enterprise security. We are building AI-powered products that help enterprise security teams understand, protect, and defend their infrastructure across multi-cloud environments. AI is not a buzzword here. It is how we plan, build, and ship. We are hiring a Sr. Product Manager - Tech who will 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. Feedback loops are short. Ownership is real. Nothing sits between you and the impact.
Key job responsibilities Own product strategy and delivery end-to-end: Set the vision and drive the roadmap for zero-to-one security products where AI is core to both the product and the process of building it. Your strategy must meet customers where their workloads run, across AWS, Azure, GCP, and on-premises, while leveraging AWS differentiation. Own prioritization, phased rollouts, and launch outcomes. Shape and ship the product.
Be the voice of the customer: Engage directly with the enterprise security customers we serve. Validate fast, build conviction about what to build next, and drive beta programs that generate the customer signal shaping product direction.
Drive AI-first thinking: Use AI to prototype, build, and launch faster. Know agentic architectures and decide how they translate into product experiences. Rethink how security problems should be solved by applying what is emerging to what customers need.
Partner across disciplines. Work directly with engineers, applied scientists, UX designers, and security researchers. You bring the customer context, they provide the technical depth. Together you ship fast.
Build the product culture: Define what product management looks like on a fast-growing, AI-native team. Establish the rituals, frameworks, and quality bar that scale as we grow.