Headquartered in Boston, USA

SecLogic.ai is building AI Powered Cloud Application Detection & Response (CADR) platform covering reactive & proactive security for the Cloud & Kubernetes environments.

The platform analyze & respond to threats & attacks leveraging both technical & business risks and provide holistic & contextual risk and security gaps with hyper remediations.

Role Overview -

The Individual will be responsible for educating customers on company's product line and provide consulting-based approach. This role requires a deep understanding of cloud, Kubernetes technology, along with the ability to understand and interpret organizational dynamics and the ability to engage and positively influence key technology and enterprise architecture decision-makers.

Responsibilities -

• Ability to understand the customer security requirements

• Develop and deliver custom demonstrations and presentations to the customers

• Work closely/End to End with Sales team in driving deal closures.

• Understanding of cloud & Kubernetes security architectures and engage in technical discussions with network, security architects & CISO's of large/medium enterprises.

• Respond to customer’s during meetings by articulating clear and concise information on the benefits of Engaging with Seclogic.

• Build & Leverage relationships with security users & decision makers to accelerate the sales cycle.

• Co-ordinate and manage technical meetings & Demo's.

• Ensure the CRM is fully supported for deal closures

Qualifications -

• Deep understanding of cloud security and organization risk landscape with minimum 4+ years of industry experience.

• Strong understanding of how to navigate large enterprise organizational structures

• Demonstrated ability to lead cross-departmental collaboration on strategic initiatives

• Demonstrated ability to develop and execute on large, complex SaaS solution opportunities

• Experience managing executive-level relationships.

• Excellent communication and follow-up skills and very engaging interpersonal skills

• Minimum Education: Bachelor’s Degree in Engineering or higher

• Strong hands on experience on Cloud & Kubernetes environment.