Top Tech Jobs & Startup Jobs

Design, build, and operate scalable ML pipelines and infrastructure for training, fine-tuning, evaluating, deploying, and monitoring NLP and LLM models. Implement LLM-focused CI/CD, optimize runtime inference for low-latency/high-throughput, manage training environments and model registries, and ensure production performance, cost efficiency, and observability.

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 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.

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.

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.

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.

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.

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.

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.