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We are seeking an Experienced Senior DevOps Engineer to join our high-performing SaaS Security team.

Born from a successful cybersecurity startup acquisition, we operate as a dynamic team within a larger organization, driven by innovation and a passion for building cutting-edge security solutions.

As our lead DevOps engineer, you will build and maintain our large-scale, automated, SaaS infrastructure.

Our technology stack includes GCP, K8s, Prometheus, Terraform, PostgreSQL, Kafka, Temporal and Hasura. Youll work collaboratively with software engineering teams and tech leads, help automate and streamline our operations and processes and troubleshoot issues in our development, test and production environments.

Key Responsibilities
Design and develop our SaaS infrastructure, CI/CD pipelines, permissions model and deployment strategy.
Improve overall security posture, manage permissions and improve work processes.
Assist in introducing new technologies into group infrastructure.
Be a focal point for the stability of our infrastructure.

We are looking for a highly skilled Technical Customer Success Manager (CSM) with a strong background in AI-driven security solutions to join our rapidly growing team. In this role, you will work directly with enterprise customers to ensure successful deployment, adoption, and ongoing value realization of our AI Security offerings. You will serve as a trusted advisor, combining deep technical expertise with a customer-first mindset to drive success in dynamic and complex environments.

Key Responsibilities
Customer Onboarding & Adoption
Lead technical onboarding, integration, and enablement of AI Security products within customer environments.
Collaborate with Sales Engineers, Product, and R&D to ensure smooth deployments and early customer value.
Technical Advisory & Support
Act as the primary technical contact post-sale, guiding customers on best practices for securing AI pipelines, models, and data.
Help customers optimize their protection and mitigate AI-related risks.
Customer Advocacy
Gather feedback from customers to inform product roadmap and influence future AI Security capabilities.
Serve as the customers advocate internally to ensure their voice drives continuous improvement.
Success Planning & Outcomes
Develop success plans for key accounts, defining clear business objectives and measurable outcomes.
Monitor usage, performance, and security posture of deployed AI systems; proactively identify risks or optimization opportunities.
Collaboration
Partner with Customer Support, Product Management, and R&D teams to deliver exceptional customer experiences.
Create and share technical documentation, playbooks, and knowledge articles related to AI Security adoption.