Top Tech Jobs & Startup Jobs

Manage the execution of Security Products by translating customer needs into requirements, collaborating with engineering and UX, and ensuring consistent communication for product launches and incidents.

Lead and grow the Inference Orchestration engineering team to design, build, and operate Kubernetes-based AI infrastructure at scale. Drive scheduling, GPU utilization, topology-aware placement, checkpoint/restore for long jobs, fault tolerance, model distribution, security isolation, and cross-functional delivery to meet performance, cost, and reliability goals.

Lead and grow an AI engineering team to build internal copilots, agents, and an AI platform. Act as a player-coach contributing to architecture, prototypes, and code. Define technical roadmap, partner with business leaders to ship AI-native workflows, and ensure governance, observability, evaluation, and cost controls for LLM-driven systems.

Serve as a strategic technical partner for key customers: design and advise on cloud architectures, run technical workshops, proactively monitor usage, resolve escalations with engineering, drive retention and expansion, and develop tools and documentation to improve Technical Account Management efficiency.