Top Tech Jobs & Startup Jobs

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.