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The Sr Cyber Risk Consultant acts as a Trusted Technical Advisor, interfacing with customers and partners to assess their cybersecurity architecture and identify gaps. Responsibilities include designing solutions for integration with Balbix, educating customers on the platform, and serving as a Subject Matter Expert in a specific cyber domain while ensuring customer satisfaction and effective communication of cyber risk.

As a Senior Customer Success Architect at Balbix, you will engage with customers to identify and implement cyber risk management solutions, educate them on Balbix's offerings, and lead integrations. You will drive workflows to minimize customer cyber risk and manage Customer Success activities, ensuring satisfaction and achieving renewal targets.

As a Senior Full Stack Engineer at Balbix, you will drive the architecture and development to accelerate the pace of the application life cycle. Collaborate with various teams, design and lead implementations, and stay current on technology landscape.

As a Senior Customer Success Manager at Balbix, you'll work closely with customers to identify their cyber risk management needs, guide them through onboarding and adoption processes, and help drive product usage and satisfaction. Your role includes developing relationships with stakeholders, leading customer engagement activities, and measuring success metrics.

As a Senior Full Stack Engineer, you will lead the development and architecture of powerful, AI-driven web applications while collaborating with cross-functional teams to strengthen cybersecurity measures. Key responsibilities include designing APIs, building UI components, and enhancing overall application performance.

The Senior Data Engineer will design and implement data pipelines to manage large data sets for cybersecurity use-cases, collaborate with teams to support data-driven applications, and develop web services and APIs while ensuring production quality solutions.

Design and develop algorithms to model interactions in enterprise cybersecurity, apply AI and graph analysis techniques, build solutions balancing complexity and performance, and collaborate with engineering teams on ML infrastructure and data pipelines.