Palo Alto Networks - Santa Clara, CA
posted about 2 months ago
At Palo Alto Networks, our mission is to be the cybersecurity partner of choice, protecting our digital way of life. As a Senior Technical Product Manager, you will play a critical role in product research by building and maintaining our Cloud Attack Defends Lab, which serves as a robust testing environment to evaluate the features of our products. This position is essential in researching and understanding various cloud attack vectors, simulating real-world attacks, and continuously improving the defenses of our cloud-based solutions. The successful candidate will have extensive experience working with cloud technologies such as AWS Lambda, Azure Functions, AWS Fargate, Docker, Kubernetes, and other cloud services. In this role, you will design, set up, and maintain a secure and scalable cloud-based attack-defend lab environment. You will deploy and configure various cloud services and security tools for testing and analysis purposes, ensuring that the lab environment is up-to-date with the latest security patches and best practices. You will also research the competitive landscape in container and serverless security, formulate competitive strategies, and articulate key differentiators. Identifying vulnerabilities, weaknesses, and potential security risks will be a key part of your responsibilities, as will closely working with product managers to influence the roadmap. Your impact will extend to participating in sales enablement, helping sales close deals by providing technical differentiators, and staying updated with the latest cloud computing trends, security threats, and industry developments. You will research cloud service providers' features, use cases, and security mechanisms to enhance our products' security posture, proposing and implementing innovative security measures to strengthen our cloud-based solutions. You will also need to demonstrate in-depth knowledge and experience in cloud technologies, particularly AWS Lambda, Azure Functions, AWS Fargate, Docker, Kubernetes, and other cloud services, or at least knowledge of one of the Public Clouds, AWS or Azure. Additionally, the ability to create automation using Terraform, Python, or any scripting language of choice is essential, along with the capability to communicate technical concepts and findings clearly to both technical and non-technical stakeholders.