Jobs at Noma Security

Design, deploy, and operate AWS-based infrastructure using Kubernetes and Helm; automate workflows and CI/CD pipelines; manage edge security (WAFs, gateways, load balancers); improve reliability through monitoring, incident detection, troubleshooting, and automated recovery; build tooling and infrastructure-as-code with Terraform.

Design, build, and maintain scalable data warehouse infrastructure and pipelines. Enable analytics and product teams via data modeling, BI dashboards, data governance, and quality monitoring.

Serve as the primary technical liaison for customers, provide hands-on integration and configuration guidance, troubleshoot issues, lead technical deep-dives, collaborate with Product and Engineering on feedback, and manage stakeholder relationships to ensure long-term satisfaction and security outcomes.

Lead end-to-end product design for an AI security and governance platform. Own product domains, translate complex AI/security workflows into intuitive UI, evolve the design system, collaborate with Product and R&D, conduct user-centered research, and deliver high-quality designs through developer handoff and iteration.

Own and execute US talent acquisition strategy for GTM roles. Drive full-cycle recruiting, build proactive sourcing pipelines, manage pipeline metrics, partner with hiring managers, and deliver a high-quality candidate experience while collaborating with the People team on employer branding and process improvements.

Lead ownership of product documentation for an AI security platform: design and maintain GitBook-based docs, create quick-starts and API references, validate workflows via Kubernetes/Helm/Python/Bash, and collaborate with PM, Engineering, Solutions, and CSM teams to close content gaps and support enterprise deployments and sales enablement.

Build and lead Tier 2-3 technical support for an AI security platform. Troubleshoot complex issues across cloud environments, APIs, integrations, and distributed systems. Serve as primary escalation for advanced incidents, perform root cause analysis, work with engineering and security teams, assist with deployments, and create knowledge bases and support processes.

Build and operate scalable backend services for an AI security and governance platform. Collaborate across product, research, and platform teams, integrate with AI/LLM platforms and cloud providers, own architecture decisions, implement testing and observability, and troubleshoot production issues to improve reliability and resilience.

Design, build, and productionize LLM- and ML-based solutions to detect and mitigate AI security risks. Own end-to-end model lifecycle, integrate models into production data pipelines, collaborate with Product and Engineering, and lead research POCs to deliver pragmatic, explainable, enterprise-ready AI security features.

Lead product vision and execution for Noma's AI Security platform. Own end-to-end product strategy, prioritize roadmap, write PRDs, collaborate with engineering/design/data/security/GTM, drive customer-facing evaluations/POCs, and deliver features for data protection, AI governance, observability, and secure AI operations.

Lead and build the company finance function from scratch: FP&A, accounting, reporting, budgeting, cash management, controls, and compliance. Drive financial strategy, forecasting, fundraising preparation, investor relations, pricing and business-model guidance. Implement financial systems, establish governance, and build a scalable finance team partnering closely with the CEO and leadership.

Serve as primary technical contact for customers, provide hands-on guidance for integration and deployment, write scripts for diagnostics/automation, troubleshoot issues, lead technical deep-dives, collaborate with product and engineering, and build long-term customer relationships to maximize platform value.

Design and lead enterprise AI security solutions: conduct technical discovery, architect cloud/hybrid deployments, integrate across AI/LLM systems and data pipelines, support pre/post-sale, advise CISOs, and influence product roadmap.

Own and execute global demand generation strategy to build pipeline and revenue. Run integrated digital campaigns, manage end-to-end program lifecycle, optimize performance through data, and collaborate with field marketing, content, and design teams.

Lead product strategy and roadmap for an AI security and governance platform. Translate customer needs into product requirements, drive frontend and architectural decisions, collaborate with engineering, design, data, security and GTM teams, run POCs and customer evaluations, and deliver capabilities for data protection, governance, observability, and secure AI operations.

Own technical pre-sales for enterprise AI security: lead discovery, design demos, execute end-to-end POCs, partner with AEs, surface product feedback, and advise customers on complex technical decisions.

Lead frontend engineering efforts for an AI security platform: own UI components, influence architecture and best practices, drive cross-functional projects, and build responsive, accessible, high-performance interfaces.