Tech Stack
CloudCyber SecurityKubernetesLinuxPython
About the role
- Collaborate with the sales team to engage with clients and prospects, conducting technical discussions to understand their security challenges, objectives, and infrastructure requirements.
- Conduct product demonstrations and presentations, showcasing the features, functionalities, and benefits of our AI security solutions to prospective clients.
- Architect customized security solutions tailored to client needs, leveraging your understanding of cybersecurity principles, AI technologies, and industry best practices.
- Lead the development and execution of proof of concept (PoC) projects, working closely with clients to validate the effectiveness and feasibility of our solutions in their environment.
- Provide pre-sales and post-sales technical support to clients, addressing inquiries, troubleshooting issues, and ensuring a smooth deployment and integration process.
- Conduct training sessions and workshops for clients and internal stakeholders, empowering them with the knowledge and skills to effectively utilize our AI security products.
- Collaborate with cross-functional teams including product management, engineering, and research, to provide feedback from the field and contribute to product enhancements and roadmap.
- Stay informed about market trends, emerging technologies, and competitive landscape in the AI security space, continuously enhancing your knowledge and expertise.
Requirements
- Proven experience in a pre-sales or post-sales solution architecture role.
- Proficient with Linux (familiarity with GNU, Bash, etc.).
- Moderate to advanced cloud experience (including hands-on experience with IaC).
- Python programming experience is necessary.
- AI experience consisting of building advanced AI workflows with tools like LangChain, LangGraph, etc. and experience with MLOps tools/environments.
- Not required but experience with container orchestration (e.g. Kubernetes) and CI/CD pipeline integration is helpful.
- Proficiency in articulating technical concepts and value propositions to both technical and non-technical audiences.
- Experience with conducting product demonstrations, proof of concepts (PoCs), and technical presentations.
- Excellent interpersonal and communication skills, with the ability to build and maintain relationships with clients and internal stakeholders.
- Self-motivated with a passion for technology and a drive for continuous learning and development.
- Willingness to travel as needed to client sites and industry events.